Building engineering cost data analysis and management system and method

Abstract

The invention provides a building engineering cost data analysis management system and method, and the method comprises the steps: traversing historically completed engineering projects, dividing the projects based on project types, and carrying out the difference analysis of the project cost data of the projects of the same type; in the completed engineering project, obtaining the influence of regional environmental factors in the engineering project on the cost; analyzing the influence of the construction data in the completed engineering project on the cost, and generating an analysis result; according to the method, the influence of the same completion time in different environments on the construction cost, the influence of different completion time in different environments on the construction cost and the influence of different completion time in the same environment on the construction cost are obtained by analyzing the construction cost data of the historical projects; in combination with the influence of the environment on the completion time, the precise cost data of the project can be obtained through analysis screen matching, so that the project can be maintained in a certain cost range on the premise of ensuring the high efficiency of the project completion time.

Description

Technical Field

[0001] The present invention relates to the technical field of construction cost data analysis, and in particular to a construction engineering cost data analysis management system and method. Background Art

[0002] The field of construction cost data analysis technology focuses on using data processing and analysis technology to predict and control the cost of construction projects. It combines elements of data science, architecture, and economics, and is committed to providing accurate cost estimates by analyzing historical data, market trends, and project characteristics. The technologies in this field usually include but are not limited to data collection (such as bill of quantities, material costs, labor costs, etc.), data processing (cleaning, classification, integration), and advanced data analysis (using statistical models, machine learning algorithms, etc.), aiming to improve the accuracy of budget preparation, optimize resource allocation, reduce risks, and improve the efficiency of overall project management.

[0003] Currently, the construction time of projects is generally long, and there are many types of data related to cost. During this process, the data affecting the cost factors will fluctuate over time. The existing cost analysis systems generally rely on historical data and empirical estimates, which often leads to inaccurate costs in the budget and time delays, which in turn affects the economic benefits and execution efficiency of the project. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a construction project cost data analysis management system and method to solve the problems raised in the above background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A construction project cost data analysis and management method, comprising the following steps:

[0008] S1. Traverse the historical completed engineering projects, classify the projects based on project type, and conduct difference analysis on the project cost data of the same type of projects;

[0009] S2. Based on the difference analysis data of S1, in the completed engineering projects, obtain the impact of regional environmental factors on the construction cost of the engineering projects;

[0010] S3, based on the difference analysis data of S1, analyze the impact of construction data on construction cost in the completed engineering project and generate analysis results;

[0011] S4. Based on the analysis results of S2 and S3, match the target project engineering and determine the most accurate cost data.

[0012] As a preference of this embodiment, the steps in S1 include:

[0013] The historically completed engineering projects are divided according to the geographical environment, and two groups of engineering projects with different geographical environments are randomly selected and recorded as M1 and M2;

[0014] Among them, the similarity between engineering projects M1 and M2 is 95%-100% except for the difference in geographical environment;

[0015] The cost data of project M1 is determined and recorded as I1, and the cost data of project M2 is determined and recorded as I2;

[0016] Compare the cost data I1 and I2, and compare the differences in cost data in historical completed engineering projects;

[0017] If |I1-I2|∈[α, β], it means that the difference in cost data between project M1 and project M2 does not exceed the preset value β, and the reasons leading to the difference in cost data between project M1 and project M2 are further analyzed;

[0018] If |I1-I2|∈[0,α), it means that the difference between the cost data of project M1 and project M2 is between [0,α], and the difference between the cost data of project M1 and project M2 is within a reasonable range, and no further analysis is needed;

[0019] Among them, α belongs to the preset lower limit of the difference, and β belongs to the preset upper limit of the difference.

[0020] As a preference of this embodiment, the steps in S2 include:

[0021] The completion time of the project is obtained through the cost-related data of the same type of projects in the completed projects, which is recorded as set C;

[0022] The mode of the completion days of the same type of projects in the filter set C is recorded as the preset completion days Y of the project of this type D ;

[0023] Analyze the average cost of this type of project, denoted as S j , then the default daily cost of this type of project is P = S j / Y D ;

[0024] Analyze the cost prediction loss of this type of project under different environments, denoted as W;

[0025] W=γ*P*(Dn-Y D )+σ(P-Sn / Dn)*Y D

[0026] Where γ represents the bias coefficient, which is a constant; Dn represents the actual completion days of the project; σ represents the correction coefficient, which is a constant; and Sn represents the actual cost of the project.

[0027] As a preference of this embodiment, the steps in S3 include:

[0028] Extract two groups of projects with significant differences in completion days from project M1, and extract two groups of projects with significant differences in completion days from project M2, wherein the two groups of projects extracted from M2 have the same completion days as the two groups of projects in M1;

[0029] The two groups of engineering projects extracted from M1 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed;

[0030] The two groups of engineering projects extracted from M2 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed;

[0031] Based on the data of the relationship between the material cost and the time period of each node analyzed in M1 and M2, determine the rate of change of the material cost relative to the extension of the time period;

[0032] Based on the relationship data between the material cost and other costs and the time period at each node in M1 and M2, the different relationships between the material cost and other costs under different environments are determined.

[0033] As a preferred embodiment of this embodiment, the determining of the difference relationship between material cost and other costs under different environments based on the relationship data between material cost and other costs of each node in M1 and M2 and the time period includes:

[0034] The material cost change rates are sorted according to the project node process, [X1, X2, X3···Xn], where Xn represents the material cost change rate between the last node and the previous node in M1 or M2;

[0035] The other cost change rates are sorted according to the project node process, [Y1, Y2, Y3···Yn], where Yn represents the other cost change rate between the last node and the previous node in M1 or M2;

[0036] Based on the rate of change of material cost and other costs and the items with specific obvious differences in completion days in M1 and M2, the impact of completion days on material cost is determined, recorded as Ec, and the impact of completion days on other costs is determined, recorded as Eq.

[0037] As a preference of this embodiment, the steps in S4 are:

[0038] Obtain the impact of environmental factors on the construction cost of the target project;

[0039] Based on the impact of environmental factors on the completion time of the target project, the predicted time of the project is calculated to obtain the impact of the project time on the cost;

[0040] Analyze the optimal cost construction data for the target project.

[0041] As a preferred embodiment of this invention, a construction engineering cost data analysis and management system is used to implement the above-mentioned construction engineering cost data analysis and management method, including:

[0042] The data query acquisition module is used to obtain the cost data of historical project engineering, divide the projects based on project types, and perform difference analysis on the project cost data of projects of the same type;

[0043] The process of performing difference analysis on the project cost data of the same type of projects by the data query acquisition module includes:

[0044] The historically completed engineering projects are divided according to the geographical environment, and two groups of engineering projects with different geographical environments are randomly selected and recorded as M1 and M2;

[0045] Among them, the similarity between engineering projects M1 and M2 is 95%-100% except for the difference in geographical environment;

[0046] The cost data of project M1 is determined and recorded as I1, and the cost data of project M2 is determined and recorded as I2;

[0047] Compare the cost data I1 and I2, and compare the differences in cost data in historical completed engineering projects;

[0048] If |I1-I2|∈[α, β], it means that the difference in cost data between project M1 and project M2 does not exceed the preset value β, and the reasons leading to the difference in cost data between project M1 and project M2 are further analyzed;

[0049] If |I1-I2|∈[0,α), it means that the difference between the cost data of project M1 and project M2 is between [0,α], and the difference between the cost data of project M1 and project M2 is within a reasonable range, and no further analysis is needed;

[0050] Among them, α belongs to the preset lower limit of difference, and β belongs to the preset upper limit of difference;

[0051] The data difference analysis module is used to combine the difference analysis results of the data query acquisition module to obtain the impact of regional environmental factors on the cost of the completed project;

[0052] The data impact analysis module is used to analyze the impact of construction data on the cost in the completed engineering project by combining the difference analysis results of the data query acquisition module and generate analysis results;

[0053] The cost assessment and analysis module is used to combine the analysis data of the data difference analysis module and the data impact analysis module to match the target project and determine the most accurate cost data.

[0054] As a preferred embodiment of this embodiment, the step of the data difference analysis module obtaining the influence of regional environmental factors on the construction cost in the engineering project includes:

[0055] The completion time of the project is obtained through the cost-related data of the same type of projects in the completed projects, which is recorded as set C;

[0056] The mode of the completion days of the same type of projects in the filter set C is recorded as the preset completion days Y of the project of this type D ;

[0057] Analyze the average cost of this type of project, denoted as S j , then the default daily cost of this type of project is P = S j / Y D ;

[0058] Analyze the cost prediction loss of this type of project under different environments, denoted as W;

[0059] W=γ*P*(Dn-Y D )+σ(P-Sn / Dn)*Y D

[0060] Where γ represents the bias coefficient, which is a constant; Dn represents the actual completion days of the project; σ represents the correction coefficient, which is a constant; and Sn represents the actual cost of the project.

[0061] As a preferred embodiment of the present invention, the data impact analysis module analyzes the impact of construction data on the construction cost in the completed engineering project in combination with the difference analysis results of the data query acquisition module, and generates the analysis results in the following process:

[0062] Extract two groups of projects with significant differences in completion days from project M1, and extract two groups of projects with significant differences in completion days from project M2, wherein the two groups of projects extracted from M2 have the same completion days as the two groups of projects in M1;

[0063] The two groups of engineering projects extracted from M1 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed;

[0064] The two groups of engineering projects extracted from M2 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed;

[0065] Based on the data of the relationship between the material cost and the time period of each node analyzed in M1 and M2, determine the rate of change of the material cost relative to the extension of the time period;

[0066] The material cost change rates are sorted according to the project node process, [X1, X2, X3···Xn], where Xn represents the material cost change rate between the last node and the previous node in M1 or M2;

[0067] The other cost change rates are sorted according to the project node process, [Y1, Y2, Y3···Yn], where Yn represents the other cost change rate between the last node and the previous node in M1 or M2;

[0068] Based on the rate of change of material cost and other costs and the items with specific obvious differences in completion days in M1 and M2, the impact of completion days on material cost is determined, recorded as Ec, and the impact of completion days on other costs is determined, recorded as Eq.

[0069] As a preferred embodiment of the present invention, the cost assessment analysis module combines the analysis data of the data difference analysis module and the data impact analysis module to match the target project engineering, and the process of determining the most accurate cost data includes:

[0070] Obtain the impact of environmental factors on the construction cost of the target project;

[0071] Based on the impact of environmental factors on the completion time of the target project, the predicted time of the project is calculated to obtain the impact of the project time on the cost;

[0072] Analyze the optimal cost construction data for the target project.

[0073] (III) Beneficial effects

[0074] The present invention provides a construction engineering cost data analysis management system and method, which has the following beneficial effects: obtaining the cost of project engineering under different environments through historical engineering projects, comparing the difference in project engineering costs under different influencing factors, and then further analyzing the impact of environmental factors and other cost-related data on the final cost of the project engineering by combining different environmental factors, so as to provide a reference for the cost analysis of subsequent target project engineering;

[0075] By taking the specific completion days differences in the project data of the same environment in historical engineering projects, the mode is selected as the preset completion days for the same type of projects in the environment, and the average cost of the project is obtained to calculate the daily cost of the project in the current environment. Secondly, by calculating the cost prediction loss of different completion days in the environment, the cost data of the preset completion days of the project in the environment is further estimated, which provides a reference for the matching completion days of subsequent project engineering in the environment.

[0076] By analyzing the changes in various costs over time under different environments and the same environment, with different and same completion days, the project nodes are split and analyzed according to the timeline of the nodes. The impact of time on cost is analyzed under the same environment and different time. The changes in various costs under different environments and different and same time provide a more accurate reference for the cost analysis of subsequent target project engineering;

[0077] Through the analysis of historical project cost data, we can obtain the impact of the same completion time on the cost in different environments, the impact of different completion times in different environments on the cost, and the impact of different completion times on the cost in the same environment. Combined with the impact of the environment on the completion time, accurate cost data of the project can be obtained through analysis screen matching. Therefore, under the premise of ensuring the efficient completion time of the project, it can also ensure that the project is maintained within a certain cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 It is a flow chart of the construction project cost data analysis and management method of the present invention;

[0079] Figure 2 This is a block diagram of the construction project cost data analysis and management system of the present invention. DETAILED DESCRIPTION

[0080] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0081] The disclosure below provides many different embodiments or examples to realize different structures of the present invention. In order to simplify the disclosure of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present invention. In addition, the present invention can repeat reference numbers and / or reference letters in different examples, and this repetition is for the purpose of simplicity and clarity, which itself does not indicate the relationship between the various embodiments and / or settings discussed. In addition, the present invention provides various specific examples of processes and materials, but those of ordinary skill in the art can appreciate the application of other processes and / or the use of other materials.

[0082] like Figure 1 As shown, an embodiment of the present invention provides a construction project cost data analysis and management method, comprising the following steps:

[0083] S1. Traverse the historical completed engineering projects, classify the projects based on project type, and conduct difference analysis on the project cost data of the same type of projects;

[0084] The steps in S1 include:

[0085] The historically completed engineering projects are divided according to the geographical environment, and two groups of engineering projects with different geographical environments are randomly selected and recorded as M1 and M2;

[0086] Among them, the similarity between engineering projects M1 and M2 is 95%-100% except for the difference in geographical environment;

[0087] The cost data of project M1 is determined and recorded as I1, and the cost data of project M2 is determined and recorded as I2;

[0088] Compare the cost data I1 and I2, and compare the differences in cost data in historical completed engineering projects;

[0089] If |I1-I2|∈[α, β], it means that the difference in cost data between project M1 and project M2 does not exceed the preset value β, and the reasons leading to the difference in cost data between project M1 and project M2 are further analyzed;

[0090] If |I1-I2|∈[0,α), it means that the difference between the cost data of project M1 and project M2 is between [0,α], and the difference between the cost data of project M1 and project M2 is within a reasonable range, and no further analysis is needed;

[0091] Among them, α belongs to the preset lower limit of the difference, and β belongs to the preset upper limit of the difference.

[0092] The present invention obtains the cost of project engineering under different environments through historical engineering projects, compares the difference in project engineering cost under different influencing factors, and further analyzes the impact of environmental factors and other cost-related data on the final cost of project engineering by combining different environmental factors, thereby providing a reference for the cost analysis of subsequent target project engineering.

[0093] It is understandable that historical project engineering is divided not only into M1 and M2, but also into M3, M4, etc. n , where n represents the total number of types of historical project engineering that can be divided according to geographical environment.

[0094] Furthermore, due to their particularity, projects in some extreme environments cannot be used as cost references for conventional projects. Therefore, the present invention removes these special projects when dividing the engineering projects.

[0095] S2. Based on the difference analysis data of S1, in the completed engineering projects, obtain the impact of regional environmental factors on the construction cost of the engineering projects;

[0096] The steps in S2 include:

[0097] The completion time of the project is obtained through the cost-related data of the same type of projects in the completed projects, which is recorded as set C;

[0098] The mode of the completion days of the same type of projects in the filter set C is recorded as the preset completion days Y of the project of this type D ;

[0099] Analyze the average cost of this type of project, denoted as S j , then the default daily cost of this type of project is P = S j / Y D ;

[0100] Analyze the cost prediction loss of this type of project under different environments, denoted as W;

[0101] W=γ*P*(Dn-Y D )+σ(P-Sn / Dn)*Y D

[0102] Where γ represents the bias coefficient, which is a constant; Dn represents the actual completion days of the project; σ represents the correction coefficient, which is a constant; and Sn represents the actual cost of the project.

[0103] The present invention calculates the daily cost of the project in the current environment by analyzing the specific completion day differences in project data of the same environment in historical engineering projects, and selects the mode as the preset completion day for the same type of project in the environment, and obtains the average cost of the project. Secondly, by calculating the predicted loss of cost at different completion days in the environment, the cost data of the preset completion days for the project in the environment is further estimated, which provides a reference for the matching completion days of subsequent project engineering in the environment.

[0104] S3, based on the difference analysis data of S1, analyze the impact of construction data on construction cost in the completed engineering project and generate analysis results;

[0105] The steps in S3 include:

[0106] Extract two groups of projects with significant differences in completion days from project M1, and extract two groups of projects with significant differences in completion days from project M2, wherein the two groups of projects extracted from M2 have the same completion days as the two groups of projects in M1;

[0107] The two groups of engineering projects extracted from M1 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed;

[0108] The two groups of engineering projects extracted from M2 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed;

[0109] Based on the data of the relationship between the material cost and the time period of each node analyzed in M1 and M2, determine the rate of change of the material cost relative to the extension of the time period;

[0110] Based on the relationship data between the material cost and other costs and the time period at each node in M1 and M2, the different relationships between the material cost and other costs under different environments are determined.

[0111] Wherein, based on the relationship data between the material cost and other costs of each node in M1 and M2 and the time period, determining the difference relationship between the material cost and other costs under different environments includes:

[0112] The material cost change rates are sorted according to the project node process, [X1, X2, X3···Xn], where Xn represents the material cost change rate between the last node and the previous node in M1 or M2;

[0113] The other cost change rates are sorted according to the project node process, [Y1, Y2, Y3···Yn], where Yn represents the other cost change rate between the last node and the previous node in M1 or M2;

[0114] Based on the rate of change of material cost and other costs and the items with specific obvious differences in completion days in M1 and M2, the impact of completion days on material cost is determined, recorded as Ec, and the impact of completion days on other costs is determined, recorded as Eq.

[0115] The present invention analyzes the change data of various costs over time under different environments and the same environment, and under different and same completion days. The present invention splits the project nodes and analyzes the impact of time on cost under the timeline of the nodes, and analyzes the impact of time on cost under the same environment and different times. The change of each cost in different environments and at different and same times provides a more accurate reference for the cost analysis of subsequent target project engineering.

[0116] S4. Based on the analysis results of S2 and S3, match the target project engineering and determine the most accurate cost data.

[0117] As a preference of this embodiment, the steps in S4 are:

[0118] Obtain the impact of environmental factors on the construction cost of the target project;

[0119] Based on the impact of environmental factors on the completion time of the target project, the predicted time of the project is calculated to obtain the impact of the project time on the cost;

[0120] Analyze the optimal cost construction data for the target project.

[0121] The present invention obtains the impact of the same completion time on the cost in different environments, the impact of different completion times in different environments, and the impact of different completion times on the cost in the same environment through analysis of historical project engineering cost data. Combined with the impact of the environment on the completion time, accurate cost data of the project engineering can be obtained through analysis screen matching, thereby ensuring that the project completion time is efficient and the project engineering is maintained within a certain cost.

[0122] like Figure 2 As shown, this embodiment also provides a construction project cost data analysis and management system, which is used to implement the above-mentioned construction project cost data analysis and management method, including:

[0123] The data query acquisition module is used to obtain the cost data of historical project engineering, divide the projects based on project types, and perform difference analysis on the project cost data of projects of the same type;

[0124] The process of performing difference analysis on the project cost data of the same type of projects by the data query acquisition module includes:

[0125] The historically completed engineering projects are divided according to the geographical environment, and two groups of engineering projects with different geographical environments are randomly selected and recorded as M1 and M2;

[0126] Among them, the similarity between engineering projects M1 and M2 is 95%-100% except for the difference in geographical environment;

[0127] The cost data of project M1 is determined and recorded as I1, and the cost data of project M2 is determined and recorded as I2;

[0128] Compare the cost data I1 and I2, and compare the differences in cost data in historical completed engineering projects;

[0129] If |I1-I2|∈[α, β], it means that the difference in cost data between project M1 and project M2 does not exceed the preset value β, and the reasons leading to the difference in cost data between project M1 and project M2 are further analyzed;

[0130] If |I1-I2|∈[0,α), it means that the difference between the cost data of project M1 and project M2 is between [0,α], and the difference between the cost data of project M1 and project M2 is within a reasonable range, and no further analysis is needed;

[0131] Among them, α belongs to the preset lower limit of difference, and β belongs to the preset upper limit of difference;

[0132] The data difference analysis module is used to combine the difference analysis results of the data query acquisition module to obtain the impact of regional environmental factors on the cost of the completed project;

[0133] The data impact analysis module is used to analyze the impact of construction data on the cost in the completed engineering project by combining the difference analysis results of the data query acquisition module and generate analysis results;

[0134] The cost assessment and analysis module is used to combine the analysis data of the data difference analysis module and the data impact analysis module to match the target project and determine the most accurate cost data.

[0135] As a preferred embodiment of this embodiment, the step of the data difference analysis module obtaining the influence of regional environmental factors on the construction cost in the engineering project includes:

[0136] The completion time of the project is obtained through the cost-related data of the same type of projects in the completed projects, which is recorded as set C;

[0137] The mode of the completion days of the same type of projects in the filter set C is recorded as the preset completion days Y of the project of this type D ;

[0138] Analyze the average cost of this type of project, denoted as S j, then the default daily cost of this type of project is P = S j / Y D ;

[0139] Analyze the cost prediction loss of this type of project under different environments, denoted as W;

[0140] W=γ*P*(Dn-Y D )+σ(P-Sn / Dn)*Y D

[0141] Where γ represents the bias coefficient, which is a constant; Dn represents the actual completion days of the project; σ represents the correction coefficient, which is a constant; and Sn represents the actual cost of the project.

[0142] As a preferred embodiment of the present invention, the data impact analysis module analyzes the impact of construction data on the construction cost in the completed engineering project in combination with the difference analysis results of the data query acquisition module, and generates the analysis results in the following process:

[0143] Extract two groups of projects with significant differences in completion days from project M1, and extract two groups of projects with significant differences in completion days from project M2, wherein the two groups of projects extracted from M2 have the same completion days as the two groups of projects in M1;

[0144] The two groups of engineering projects extracted from M1 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed;

[0145] The two groups of engineering projects extracted from M2 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed;

[0146] Based on the data of the relationship between the material cost and the time period of each node analyzed in M1 and M2, determine the rate of change of the material cost relative to the extension of the time period;

[0147] The material cost change rates are sorted according to the project node process, [X1, X2, X3···Xn], where Xn represents the material cost change rate between the last node and the previous node in M1 or M2;

[0148] The other cost change rates are sorted according to the project node process, [Y1, Y2, Y3···Yn], where Yn represents the other cost change rate between the last node and the previous node in M1 or M2;

[0149] Based on the rate of change of material cost and other costs and the items with specific obvious differences in completion days in M1 and M2, the impact of completion days on material cost is determined, recorded as Ec, and the impact of completion days on other costs is determined, recorded as Eq.

[0150] As a preferred embodiment of the present invention, the cost assessment analysis module combines the analysis data of the data difference analysis module and the data impact analysis module to match the target project engineering, and the process of determining the most accurate cost data includes:

[0151] Obtain the impact of environmental factors on the construction cost of the target project;

[0152] Based on the impact of environmental factors on the completion time of the target project, the predicted time of the project is calculated to obtain the impact of the project time on the cost;

[0153] Analyze the optimal cost construction data for the target project.

[0154] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A construction project cost data analysis and management method, characterized in that: The following steps are involved: S1. Traverse the historical completed engineering projects, classify the projects based on project type, and conduct difference analysis on the project cost data of the same type of projects; S2. Based on the difference analysis data of S1, in the completed engineering projects, obtain the impact of regional environmental factors on the construction cost of the engineering projects; S3, based on the difference analysis data of S1, analyze the impact of construction data on construction cost in the completed engineering project and generate analysis results; S4. Based on the analysis results of S2 and S3, match the target project engineering and determine the most accurate cost data.

2. A construction engineering cost data analysis and management method according to claim 1, characterized in that: The steps in S1 include: The historically completed engineering projects are divided according to the geographical environment, and two groups of engineering projects with different geographical environments are randomly selected and recorded as M1 and M2; Among them, the similarity between engineering projects M1 and M2 is 95%-100% except for the difference in geographical environment; The cost data of project M1 is determined and recorded as I1, and the cost data of project M2 is determined and recorded as I2; Compare the cost data I1 and I2, and compare the differences in cost data in historical completed engineering projects; If |I1-I2|∈[α, β], it means that the difference in cost data between project M1 and project M2 does not exceed the preset value β, and the reasons leading to the difference in cost data between project M1 and project M2 are further analyzed; If |I1-I2|∈[0,α), it means that the difference between the cost data of project M1 and project M2 is between [0,α], and the difference between the cost data of project M1 and project M2 is within a reasonable range, and no further analysis is needed; Among them, α belongs to the preset lower limit of the difference, and β belongs to the preset upper limit of the difference.

3. A construction engineering cost data analysis and management method according to claim 1, characterized in that: The steps in S2 include: The completion time of the project is obtained through the cost-related data of the same type of projects in the completed projects, which is recorded as set C; The mode of the completion days of the same type of projects in the filter set C is recorded as the preset completion days Y of the project of this type D ; Analyze the average cost of this type of project, denoted as S j , then the default daily cost of this type of project is P = S j / Y D ; Analyze the cost prediction loss of this type of project under different environments, denoted as W; W=γ*P*(Dn-Y D )+σ(P-Sn / Dn)*Y D Where γ represents the bias coefficient, which is a constant; Dn represents the actual completion days of the project; σ represents the correction coefficient, which is a constant; and Sn represents the actual cost of the project.

4. A construction engineering cost data analysis and management method according to claim 1, characterized in that: The steps in S3 include: Extract two groups of projects with significant differences in completion days from project M1, and extract two groups of projects with significant differences in completion days from project M2, wherein the two groups of projects extracted from M2 have the same completion days as the two groups of projects in M1; The two groups of engineering projects extracted from M1 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed; The two groups of engineering projects extracted from M2 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed; Based on the data of the relationship between the material cost and the time period of each node analyzed in M1 and M2, determine the rate of change of the material cost relative to the extension of the time period; Based on the relationship data between the material cost and other costs and the time period at each node in M1 and M2, the different relationships between the material cost and other costs under different environments are determined.

5. A construction engineering cost data analysis and management method according to claim 4, characterized in that: Determining the difference between material cost and other costs under different environments based on the relationship data between material cost and other costs and time period of each node in M1 and M2 includes: The material cost change rates are sorted according to the project node process, [X1, X2, X3···Xn], where Xn represents the material cost change rate between the last node and the previous node in M1 or M2; The other cost change rates are sorted according to the project node process, [Y1, Y2, Y3···Yn], where Yn represents the other cost change rate between the last node and the previous node in M1 or M2; Based on the rate of change of material cost and other costs and the items with specific obvious differences in completion days in M1 and M2, the impact of completion days on material cost is determined, recorded as Ec, and the impact of completion days on other costs is determined, recorded as Eq.

6. A construction engineering cost data analysis and management method according to claim 1, characterized in that: The steps in S4 are: Obtain the impact of environmental factors on the construction cost of the target project; Based on the impact of environmental factors on the completion time of the target project, the predicted time of the project is calculated to obtain the impact of the project time on the cost; Analyze the optimal cost construction data for the target project.

7. A construction engineering cost data analysis and management system, used to implement the construction engineering cost data analysis and management method according to any one of claims 1 to 6, characterized in that: include: The data query acquisition module is used to obtain the cost data of historical project engineering, divide the projects based on project types, and perform difference analysis on the project cost data of projects of the same type; The process of performing difference analysis on the project cost data of the same type of projects by the data query acquisition module includes: The historically completed engineering projects are divided according to the geographical environment, and two groups of engineering projects with different geographical environments are randomly selected and recorded as M1 and M2; Among them, the similarity between engineering projects M1 and M2 is 95%-100% except for the difference in geographical environment; The cost data of project M1 is determined and recorded as I1, and the cost data of project M2 is determined and recorded as I2; Compare the cost data I1 and I2, and compare the differences in cost data in historical completed engineering projects; If |I1-I2|∈[α, β], it means that the difference in cost data between project M1 and project M2 does not exceed the preset value β, and the reasons leading to the difference in cost data between project M1 and project M2 are further analyzed; If |I1-I2|∈[0,α), it means that the difference between the cost data of project M1 and project M2 is between [0,α], and the difference between the cost data of project M1 and project M2 is within a reasonable range, and no further analysis is needed; Among them, α belongs to the preset lower limit of difference, and β belongs to the preset upper limit of difference; The data difference analysis module is used to combine the difference analysis results of the data query acquisition module to obtain the impact of regional environmental factors on the cost of the completed project; The data impact analysis module is used to analyze the impact of construction data on the cost in the completed engineering project by combining the difference analysis results of the data query acquisition module and generate analysis results; The cost assessment and analysis module is used to combine the analysis data of the data difference analysis module and the data impact analysis module to match the target project and determine the most accurate cost data.

8. A construction engineering cost data analysis and management system according to claim 7, characterized in that: The steps for the data difference analysis module to obtain the impact of regional environmental factors on the cost of the project include: The completion time of the project is obtained through the cost-related data of the same type of projects in the completed projects, which is recorded as set C; The mode of the completion days of the same type of projects in the filter set C is recorded as the preset completion days Y of the project of this type D ; Analyze the average cost of this type of project, denoted as S j , then the default daily cost of this type of project is P = S j / Y D ; Analyze the cost prediction loss of this type of project under different environments, denoted as W; W=γ*P*(Dn-Y D )+σ(P-Sn / Dn)*Y D Where γ represents the bias coefficient, which is a constant; Dn represents the actual completion days of the project; σ represents the correction coefficient, which is a constant; and Sn represents the actual cost of the project.

9. A construction engineering cost data analysis and management system according to claim 7, characterized in that: The data impact analysis module analyzes the impact of construction data on the construction cost in the completed engineering project in combination with the difference analysis results of the data query acquisition module, and generates the analysis results in the following process: Extract two groups of projects with significant differences in completion days from project M1, and extract two groups of projects with significant differences in completion days from project M2, wherein the two groups of projects extracted from M2 have the same completion days as the two groups of projects in M1; The two groups of engineering projects extracted from M1 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed; The two groups of engineering projects extracted from M2 are divided into time periods based on project nodes, and the relationship between material cost and other costs and time period at each node is analyzed; Based on the data of the relationship between the material cost and the time period of each node analyzed in M1 and M2, determine the rate of change of the material cost relative to the extension of the time period; The material cost change rates are sorted according to the project node process, [X1, X2, X3···Xn], where Xn represents the material cost change rate between the last node and the previous node in M1 or M2; The other cost change rates are sorted according to the project node process, [Y1, Y2, Y3···Yn], where Yn represents the other cost change rate between the last node and the previous node in M1 or M2; Based on the rate of change of material cost and other costs and the items with specific obvious differences in completion days in M1 and M2, the impact of completion days on material cost is determined, recorded as Ec, and the impact of completion days on other costs is determined, recorded as Eq.

10. A construction engineering cost data analysis and management system according to claim 7, characterized in that: The cost assessment analysis module combines the analysis data of the data difference analysis module and the data impact analysis module to match the target project engineering, and the process of determining the most accurate cost data includes: Obtain the impact of environmental factors on the construction cost of the target project; Based on the impact of environmental factors on the completion time of the target project, the predicted time of the project is calculated to obtain the impact of the project time on the cost; Analyze the optimal cost construction data for the target project.

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