CN117273541A - Building engineering cost quality evaluation system based on big data - Google Patents

Building engineering cost quality evaluation system based on big data Download PDF

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Publication number
CN117273541A
CN117273541A CN202311321264.2A CN202311321264A CN117273541A CN 117273541 A CN117273541 A CN 117273541A CN 202311321264 A CN202311321264 A CN 202311321264A CN 117273541 A CN117273541 A CN 117273541A
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construction
project
cost
information
project information
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Inventor
陈欢
邓跃奎
侯飞云
刘振令
王铭河
陈俊龙
安玉雷
武永恩
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Xiangfeng Engineering Management Consulting Henan Co ltd
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Xiangfeng Engineering Management Consulting Henan Co ltd
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Priority to CN202311321264.2A priority Critical patent/CN117273541A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction

Abstract

The invention discloses a construction project cost quality assessment system based on big data, in particular to the field of construction project cost assessment, which comprises a construction project information acquisition module, a construction project cost information preprocessing module, a construction project cost information processing module, a construction project cost early warning module, a project construction period information processing module, a project construction period information optimizing module, a construction project cost quality analysis module, a construction project cost quality assessment module and a construction project cost safety supervision module.

Description

Building engineering cost quality evaluation system based on big data
Technical Field
The invention relates to the technical field of construction engineering cost evaluation, in particular to a construction engineering cost quality evaluation system based on big data.
Background
The construction engineering is characterized in that according to a design drawing and a construction scheme, through organizing manpower, material resources and financial resources, construction activities are carried out at specific places within a certain time range, the construction engineering is used as a complex engineering project, a plurality of links such as planning, designing, bidding, construction, checking and accepting are needed, the construction cost is a work for reasonably planning and managing the cost and budget of the engineering, budget, management, allocation and optimization are carried out on all expenses, quality management of the construction cost is a basic guarantee for guaranteeing smooth construction, control cost and reasonable optimization of the engineering, the construction cost is reduced, and benefit maximization is achieved.
The existing construction cost evaluation mode is mainly to count the costs related to the construction according to various engineering quantities in an engineering quantity list to obtain the total construction cost, and the mode has the problems of large engineering quantity, high labor cost, low efficiency and high error rate, and can not effectively optimize a large amount of data according to actual conditions, so that the data is not updated timely, and the accuracy of construction cost is reduced.
When the construction engineering is constructed, the project cost is estimated insufficiently, the project budget is more prone to be estimated, the market price is influenced by various factors of supply and demand relation, production cost and policy to generate fluctuation, the budget is often exceeded after the construction engineering is completed, the construction process is reasonably adjusted through the project cost quality estimation, the input cost is reduced, and the economic efficiency of a building enterprise is improved.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a construction cost quality evaluation system based on big data, which is used for solving the problems set forth in the above-mentioned background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the construction project information acquisition module is used for: the method is used for acquiring engineering project information of the target building enterprise and screening out each piece of engineering cost information in the engineering project information.
The construction engineering cost information preprocessing module comprises: the system is used for receiving the construction cost information transmitted by the construction project information acquisition module, eliminating abnormal values in the data and analyzing the cost expense difference of each project in the project information of the target construction enterprise.
The construction engineering cost information processing module: the system is used for receiving the data information transmitted by the construction project cost information preprocessing module and analyzing the construction project cost expense coincidence index of each construction project in the project information of the target construction enterprise.
Building engineering cost early warning module: the method is used for extracting the construction cost expense meeting index of each construction project in the project information of the target construction enterprise, analyzing the fluctuation rate index of the construction cost expense change of each construction project, and carrying out corresponding early warning after the construction cost expense meeting index is arranged according to the grade.
Project construction period information processing module: and the system is used for receiving the construction cost information transmitted by the construction project information acquisition module and analyzing the construction period deviation index of each project.
Project construction period information optimizing module: the method is used for extracting project period associated data in project information of the target building enterprise and analyzing project period optimization indexes of each project.
The construction engineering cost quality analysis module: the method is used for extracting the construction cost coincidence index, the construction period optimization index and the construction period deviation index of each project in the project information of the target construction enterprise, and analyzing to obtain the construction cost quality evaluation coefficient.
The construction engineering cost quality evaluation module: the method is used for acquiring the construction cost quality evaluation coefficient in the project information of the target construction enterprise, comparing the construction cost quality evaluation coefficient with the preset construction cost quality evaluation coefficient, and transmitting the processing measure to the management terminal.
Building engineering cost safety supervision module: the method is used for storing the historical construction project cost quality evaluation coefficient and the fluctuation rate index of the construction project cost change in the project information of the target construction enterprise.
Preferably, the specific acquisition mode of the building engineering project information acquisition module is as follows:
acquiring engineering project information of a target building enterprise, and marking the engineering project information of the target building enterprise as 1 and 2 … … n;
extracting project budget, project expenditure and total investment in project information of target building enterprises, which are marked as xy respectively i 、xc i 、xz i Where i=1, 2 … … n, i is denoted as the i-th project information number;
extracting the estimated construction period of each project and the actual construction period of each project in project information of a target building enterprise, and marking the estimated construction period and the actual construction period as gy respectively i 、gs i Where i=1, 2 … … n, i denotes the i-th project information number.
Preferably, the construction engineering cost information preprocessing module specifically comprises:
substituting each project budget and each project expenditure in the project information of the target building enterprise into a formula: Δrx=xc i -xy i Obtaining the cost difference value of each project.
Preferably, the calculation formula of the construction cost expense meeting the index of each construction engineering is as follows:
wherein alpha is expressed as the construction cost expense coincidence index of each construction project, n is expressed as the total number of project information, deltarx is expressed as the cost expense difference value of each project, and x Pre-preparation The method comprises the steps of representing a preset project cost fluctuation value;
wherein x is Pre-preparation The calculation formula of (2) is as follows:wherein xz i Expressed as the total investment of the ith project information, xc i Each project expenditure expressed as the ith project information, and n expressed as the total number of project information.
Preferably, the construction engineering cost early warning module specifically comprises:
step S01:wherein delta is expressed as the fluctuation rate index of the cost change of each construction project, n is expressed as the total number of project information, and alpha i Each construction project cost coincidence index expressed as the i-th project information;
step S02: and extracting the fluctuation rate index of the construction cost change of each construction project in the project information of the target construction enterprise, classifying the project information into yellow prediction, orange early warning and red early warning according to the arrangement of the grades from small to large, respectively extracting the project information in the classified yellow prediction, orange early warning and red early warning, and transmitting the processing measures to corresponding project management staff.
Preferably, the calculation formula of the project period deviation index is as follows:
wherein beta is expressed as a project period deviation index, gs i Actual construction period, gy of each project expressed as i-th project information i Estimated construction period gc of each project expressed as i-th project information Pre-preparation Expressed as a preset construction period deviation time, lambda representsThe compensation coefficient of the project period deviation index is used for each project period deviation index.
Preferably, the project period information optimizing module specifically includes:
step S01: extracting actual construction periods of all engineering projects in engineering project information of a target building enterprise, obtaining rainfall corresponding to the actual construction periods of all engineering projects, and marking the number of workers as epsilon respectively iy 、μ is ；
Step S02:wherein sigma is expressed as a project duration optimization index, gy i Project estimated time limit epsilon expressed as ith project information iy Expressed as predicted rainfall, mu corresponding to the actual construction period of the ith engineering project information is Expressed as the number epsilon of workers corresponding to the actual construction period of the ith engineering project information Pre-preparation Expressed as a preset rainfall, mu Pre-preparation Expressed as a preset number of workers.
Preferably, the calculation formula of the construction cost quality evaluation coefficient is as follows:
wherein θ is represented by a construction cost quality evaluation coefficient, α is represented by a construction cost coincidence index of each construction cost, β is represented by a construction period deviation index of each project, σis represented by a construction period optimization index of each project, λ 1 、λ 2 Other influencing factors expressed as construction cost quality assessment coefficients.
Preferably, the construction engineering cost quality evaluation module specifically comprises:
acquiring a construction cost quality evaluation coefficient in the target construction enterprise project information, comparing the construction cost quality evaluation coefficient with a preset construction cost quality evaluation coefficient, and if the construction cost quality evaluation coefficient is smaller than the preset construction cost quality evaluation coefficient, indicating that the construction cost quality evaluation in the target construction enterprise project information is abnormal, immediately informing a construction project manager to check and adjust, otherwise, indicating that the construction cost quality evaluation in the target construction enterprise project information is abnormal.
The invention has the technical effects and advantages that:
1. the invention provides a construction project cost quality evaluation system based on big data, which is characterized in that the construction project cost related information in the project information of a target construction enterprise is obtained through acquiring, preprocessing and analyzing to obtain the construction project cost coincidence index, the project period deviation index and the project period optimization index in the project information of the target construction enterprise, the construction project cost quality evaluation coefficient is further obtained through analysis, and is compared with a preset construction project cost quality evaluation coefficient, if the construction project cost quality evaluation coefficient is smaller than the preset construction project cost quality evaluation coefficient, the construction project cost quality evaluation in the project information of the target construction enterprise is abnormal, a construction project manager is immediately informed to check and adjust, so that a great amount of data is effectively integrated and optimized according to actual conditions, the evaluation data is updated in time, the cost of the construction project cost is controlled, and the accuracy of the construction project cost evaluation is improved;
2. according to the invention, the construction cost expense index of each construction project is obtained by extracting the construction cost expense index of each construction project in the project information of the target construction enterprise, the construction cost expense index is obtained by analyzing, and the construction project is classified into yellow prediction, orange early warning and red early warning according to the arrangement of the grade from small to large, the project information in the yellow prediction, the orange early warning and the red early warning after the classification is respectively extracted, the processing measures are sent to corresponding project management staff, scientific evaluation indexes are provided by using an algorithm model, various objective factors existing in manual operation are avoided, the change trend in the construction project is found in time in the deep mining of data, the transparency of the construction cost expense is promoted, and convenience is brought to the quality evaluation of the construction cost.
Drawings
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a construction project cost quality evaluation system based on big data, which comprises a construction project information acquisition module, a construction project cost information preprocessing module, a construction project cost information processing module, a construction project cost early warning module, a project construction period information processing module, a project construction period information optimizing module, a construction project cost quality analysis module, a construction project cost quality evaluation module, and a construction project cost safety supervision module.
The construction project information acquisition module is connected with the construction project cost information preprocessing module and the project period information processing module, the construction project cost information preprocessing module is connected with the construction project cost information processing module, the construction project cost information processing module is connected with the construction project cost early warning module, the project period information processing module is connected with the project period information optimizing module, the construction project cost early warning module and the project period information optimizing module are connected with the construction project cost quality analysis module, the construction project cost quality analysis module is connected with the construction project cost quality assessment module, and the construction project cost quality assessment module is connected with the construction project cost safety supervision module.
The construction project information acquisition module is used for acquiring project information of a target construction enterprise and screening out each project cost information in the project information.
In one possible design, the specific acquisition mode of the construction project information acquisition module is as follows:
acquiring engineering project information of a target building enterprise, and marking the engineering project information of the target building enterprise as 1 and 2 … … n;
extracting project budget, project expenditure and total investment in project information of target building enterprises, which are marked as xy respectively i 、xc i 、xz i Where i=1, 2 … … n, i is denoted as the i-th project information number;
extracting the estimated construction period of each project and the actual construction period of each project in project information of a target building enterprise, and marking the estimated construction period and the actual construction period as gy respectively i 、gs i Where i=1, 2 … … n, i denotes the i-th project information number.
The construction project cost information preprocessing module is used for receiving the construction project cost information transmitted by the construction project information acquisition module, eliminating abnormal values in the data and analyzing the cost expense difference of each project in the project information of the target construction enterprise.
In one possible design, the construction cost information preprocessing module specifically includes:
substituting each project budget and each project expenditure in the project information of the target building enterprise into a formula: Δrx=xc i -xy i Obtaining the cost difference value of each project.
The construction project cost information processing module is used for receiving the data information transmitted by the construction project cost information preprocessing module, and analyzing the construction project cost of each construction project in the project information of the target construction enterprise to accord with the index.
In one possible design, the calculation formula of the construction cost meeting index is as follows:
wherein alpha is expressed as the construction cost expense coincidence index of each construction project, n is expressed as the total number of project information, deltarx is expressed as the cost expense difference value of each project, and x Pre-preparation The method comprises the steps of representing a preset project cost fluctuation value;
wherein x is Pre-preparation The calculation formula of (2) is as follows:wherein xz i Expressed as the total investment of the ith project information, xc i Each project expenditure expressed as the ith project information, and n expressed as the total number of project information.
The construction cost early warning module is used for extracting the construction cost expense meeting index of each construction project in the project information of the target construction enterprise, analyzing the fluctuation rate index of the construction cost expense change of each construction project, and carrying out corresponding early warning according to the rank arrangement.
In the preferred technical scheme of this application, building engineering cost early warning module specifically does:
step S01:wherein delta is expressed as the fluctuation rate index of the cost change of each construction project, n is expressed as the total number of project information, and alpha i Each construction project cost coincidence index expressed as the i-th project information;
step S02: and extracting the fluctuation rate index of the construction cost change of each construction project in the project information of the target construction enterprise, classifying the project information into yellow prediction, orange early warning and red early warning according to the arrangement of the grades from small to large, respectively extracting the project information in the classified yellow prediction, orange early warning and red early warning, and transmitting the processing measures to corresponding project management staff.
In the embodiment, it is required to specifically explain that, the fluctuation rate index of the cost change of each construction project in the project information of the target construction enterprise is extracted, the fluctuation index delta is less than or equal to 20% and marked as yellow early warning, the fluctuation index delta is less than or equal to 20% and less than or equal to 60% and marked as orange early warning, and the fluctuation index delta is more than 60% and marked as red early warning.
The project construction period information processing module is used for receiving the construction cost information transmitted by the construction project information acquisition module and analyzing the project construction period deviation index.
In one possible design, the calculation formula of the project period deviation index is as follows:
wherein beta is expressed as a project period deviation index, gs i Actual construction period, gy of each project expressed as i-th project information i Estimated construction period gc of each project expressed as i-th project information Pre-preparation Expressed as a preset construction period deviation time, and lambda is expressed as a compensation coefficient of each project construction period deviation index.
The project period information optimizing module is used for extracting project period associated data in project information of a target building enterprise and analyzing project period optimizing indexes of each project period.
In one possible design, the project period information optimizing module specifically includes:
step S01: extracting actual construction periods of all engineering projects in engineering project information of a target building enterprise, obtaining rainfall corresponding to the actual construction periods of all engineering projects, and marking the number of workers as epsilon respectively iy 、μ is ；
Step S02:wherein sigma is expressed as a project duration optimization index, gy i Project estimated time limit epsilon expressed as ith project information iy Expressed as predicted rainfall, mu corresponding to the actual construction period of the ith engineering project information is Expressed as the number epsilon of workers corresponding to the actual construction period of the ith engineering project information Pre-preparation Expressed as a preset rainfall, mu Pre-preparation Expressed as a preset number of workers.
The construction project cost quality analysis module is used for extracting the construction project cost coincidence index, the construction period optimization index and the construction period deviation index of each project in the project information of the target construction enterprise, and analyzing to obtain the construction project cost quality evaluation coefficient.
In one possible design, the calculation formula of the construction cost quality evaluation coefficient is:
wherein θ is represented by a construction cost quality evaluation coefficient, α is represented by a construction cost coincidence index of each construction cost, β is represented by a construction period deviation index of each project, σis represented by a construction period optimization index of each project, λ 1 、λ 2 Other influencing factors expressed as construction cost quality assessment coefficients.
The construction cost quality evaluation module is used for acquiring a construction cost quality evaluation coefficient in the project information of the target construction enterprise, comparing the construction cost quality evaluation coefficient with a preset construction cost quality evaluation coefficient, and transmitting the processing measure to the management terminal.
In one possible design, the construction cost quality evaluation module is specifically:
acquiring a construction cost quality evaluation coefficient in the target construction enterprise project information, comparing the construction cost quality evaluation coefficient with a preset construction cost quality evaluation coefficient, and if the construction cost quality evaluation coefficient is smaller than the preset construction cost quality evaluation coefficient, indicating that the construction cost quality evaluation in the target construction enterprise project information is abnormal, immediately informing a construction project manager to check and adjust, otherwise, indicating that the construction cost quality evaluation in the target construction enterprise project information is abnormal.
The construction project cost safety supervision module is used for storing historical construction project cost quality evaluation coefficients and fluctuation rate indexes of construction project cost expense changes of target construction enterprises in project information.
In this embodiment, it should be specifically described that the present invention provides a construction engineering cost quality evaluation system based on big data, including the following steps:
step S01: building engineering project information acquisition: specifically, project information of a target building enterprise is obtained, and each project cost information in the project information is screened out.
Step S02: pretreatment of construction engineering cost information: specifically, each project cost information transmitted in the building project information acquisition step is received, abnormal values in data are eliminated, and each project cost expense difference in the project information of the target building enterprise is analyzed.
Step S03: and (3) construction engineering cost information processing: the method specifically comprises the steps of receiving data information transmitted in a construction cost information preprocessing step, and analyzing the construction cost expense of each construction project in project information of a target construction enterprise to accord with an index.
Step S04: building engineering cost early warning: the method specifically comprises the steps of extracting the construction cost expense meeting index of each construction project in the project information of the target construction enterprise, analyzing the fluctuation rate index of the construction cost expense change of each construction project, and carrying out corresponding early warning after ranking.
Step S05: project construction period information processing: specifically, the construction project information acquisition step is used for receiving the construction cost information transmitted by the construction project information acquisition step and analyzing the construction period deviation index of each project.
Step S06: project construction period information optimization: specifically, project period associated data in project information of a target building enterprise is extracted, and project period optimization indexes of each project are analyzed.
Step S07: and (3) building engineering cost quality analysis: the method specifically comprises the steps of extracting the construction cost expense coincidence index, the construction period optimization index and the construction period deviation index of each project in the project information of the target construction enterprise, and analyzing to obtain the construction cost quality evaluation coefficient.
Step S08: building engineering cost quality assessment: the method comprises the steps of obtaining a construction project cost quality evaluation coefficient in target construction enterprise project information, comparing the construction project cost quality evaluation coefficient with a preset construction project cost quality evaluation coefficient, and sending a processing measure to a management terminal.
Step S09: building engineering cost safety supervision: specifically, the method is to store the historical construction cost quality evaluation coefficient and the fluctuation rate index of the construction cost expense change of each construction engineering in the project information of the target construction enterprise.
In this embodiment, it needs to be specifically explained that, by acquiring the relevant information of each construction cost in the project information of the target construction enterprise, analyzing after preprocessing to obtain the construction cost coincidence index, the construction period deviation index and the construction period optimization index of each construction project in the project information of the target construction enterprise, further analyzing to obtain the construction cost quality evaluation coefficient, comparing with the preset construction cost quality evaluation coefficient, if the construction cost quality evaluation coefficient is smaller than the preset construction cost quality evaluation coefficient, indicating that the construction cost quality evaluation in the project information of the target construction enterprise is abnormal, immediately notifying the construction project manager to check and adjust, realizing effectively integrating and optimizing a large amount of data according to actual conditions, updating the evaluation data in time, controlling the cost of the construction cost, and being beneficial to improving the accuracy of the construction cost evaluation;
according to the invention, the construction cost expense index of each construction project is obtained by extracting the construction cost expense index of each construction project in the project information of the target construction enterprise, the construction cost expense index is obtained by analyzing, and the construction project is classified into yellow prediction, orange early warning and red early warning according to the arrangement of the grade from small to large, the project information in the yellow prediction, the orange early warning and the red early warning after the classification is respectively extracted, the processing measures are sent to corresponding project management staff, scientific evaluation indexes are provided by using an algorithm model, various objective factors existing in manual operation are avoided, the change trend in the construction project is found in time in the deep mining of data, the transparency of the construction cost expense is promoted, and convenience is brought to the quality evaluation of the construction cost.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (9)

1. A construction project cost quality assessment system based on big data, comprising:
the construction project information acquisition module is used for: the method comprises the steps of obtaining project information of a target building enterprise, and screening out each project cost information in the project information;
the construction engineering cost information preprocessing module comprises: the system comprises a building engineering project information acquisition module, a data processing module and a data processing module, wherein the data processing module is used for receiving the project cost information transmitted by the building engineering project information acquisition module, eliminating abnormal values in data and analyzing various project cost expense differences in project information of a target building enterprise;
the construction engineering cost information processing module: the system comprises a data information preprocessing module, a construction project information processing module, a target construction enterprise project information processing module and a target construction enterprise project information processing module, wherein the data information preprocessing module is used for receiving the data information transmitted by the construction project information preprocessing module, and analyzing the construction project expense coincidence index of each construction project in the target construction enterprise project information;
building engineering cost early warning module: the method comprises the steps of extracting the construction cost expense coincidence index of each construction project in the project information of a target construction enterprise, analyzing the fluctuation rate index of each construction cost expense change, and carrying out corresponding early warning after ranking;
project construction period information processing module: the system comprises a construction project information acquisition module, a project construction period deviation index analysis module and a project construction period deviation index analysis module, wherein the construction project information acquisition module is used for acquiring construction cost information transmitted by the construction project information acquisition module;
project construction period information optimizing module: the project period optimization index analysis method is used for extracting project period associated data in project information of a target building enterprise and analyzing project period optimization indexes of each project;
the construction engineering cost quality analysis module: the method is used for extracting the construction cost coincidence index, the construction period optimization index and the construction period deviation index of each project in the project information of the target construction enterprise, and analyzing to obtain the construction cost quality evaluation coefficient;
the construction engineering cost quality evaluation module: the system is used for acquiring the construction cost quality evaluation coefficient in the project information of the target construction enterprise, comparing the construction cost quality evaluation coefficient with the preset construction cost quality evaluation coefficient and transmitting the processing measure to the management terminal;
building engineering cost safety supervision module: the method is used for storing the historical construction project cost quality evaluation coefficient and the fluctuation rate index of the construction project cost change in the project information of the target construction enterprise.
2. The big data based construction cost quality assessment system according to claim 1, wherein: the specific acquisition mode of the building engineering project information acquisition module is as follows:
acquiring engineering project information of a target building enterprise, and marking the engineering project information of the target building enterprise as 1 and 2 … … n;
extracting project budget, project expenditure and total investment in project information of target building enterprises, which are marked as xy respectively i 、xc i 、xz i Where i=1, 2 … … n, i is denoted as the i-th project information number;
extracting the estimated construction period of each project and the actual construction period of each project in project information of a target building enterprise, and marking the estimated construction period and the actual construction period as gy respectively i 、gs i Where i=1, 2 … … n, i denotes the i-th project information number.
3. The big data based construction cost quality assessment system according to claim 1, wherein: the construction engineering cost information preprocessing module specifically comprises:
substituting each project budget and each project expenditure in the project information of the target building enterprise into a formula: Δrx=xc i -xy i Obtaining the cost difference value of each project.
4. The big data based construction cost quality assessment system according to claim 1, wherein: the calculation formula of the construction cost expense meeting the index of each construction engineering is as follows:
wherein alpha is expressed as the construction cost expense coincidence index of each construction project, n is expressed as the total number of project information, deltarx is expressed as the cost expense difference value of each project, and x Pre-preparation The method comprises the steps of representing a preset project cost fluctuation value;
wherein x is Pre-preparation The calculation formula of (2) is as follows:wherein xz i Expressed as the total investment of the ith project information, xc i Each project expenditure expressed as the ith project information, and n expressed as the total number of project information.
5. The big data based construction cost quality assessment system according to claim 1, wherein: the construction engineering cost early warning module specifically comprises:
step S01:wherein delta is expressed as the fluctuation rate index of the cost change of each construction project, n is expressed as the total number of project information, and alpha i Each construction project cost coincidence index expressed as the i-th project information;
step S02: and extracting the fluctuation rate index of the construction cost change of each construction project in the project information of the target construction enterprise, classifying the project information into yellow prediction, orange early warning and red early warning according to the arrangement of the grades from small to large, respectively extracting the project information in the classified yellow prediction, orange early warning and red early warning, and transmitting the processing measures to corresponding project management staff.
6. The big data based construction cost quality assessment system according to claim 1, wherein: the calculation formula of the project period deviation index is as follows:
wherein beta is expressed as a project period deviation index, gs i Actual construction period, gy of each project expressed as i-th project information i Estimated construction period gc of each project expressed as i-th project information Pre-preparation Expressed as a preset construction period deviation time, lambda is expressed as each itemCompensating coefficient of the deviation index of the target period.
7. The big data based construction cost quality assessment system according to claim 1, wherein: the project construction period information optimizing module specifically comprises:
step S01: extracting actual construction periods of all engineering projects in engineering project information of a target building enterprise, obtaining rainfall corresponding to the actual construction periods of all engineering projects, and marking the number of workers as epsilon respectively iy 、μ is ；
Step S02:wherein sigma is expressed as a project duration optimization index, gy i Project estimated time limit epsilon expressed as ith project information iy Expressed as predicted rainfall, mu corresponding to the actual construction period of the ith engineering project information is Expressed as the number epsilon of workers corresponding to the actual construction period of the ith engineering project information Pre-preparation Expressed as a preset rainfall, mu Pre-preparation Expressed as a preset number of workers.
8. The big data based construction cost quality assessment system according to claim 1, wherein: the calculation formula of the construction engineering cost quality evaluation coefficient is as follows:
wherein θ is represented by a construction cost quality evaluation coefficient, α is represented by a construction cost coincidence index of each construction cost, β is represented by a construction period deviation index of each project, σis represented by a construction period optimization index of each project, λ 1 、λ 2 Other influencing factors expressed as construction cost quality assessment coefficients.
9. The big data based construction cost quality assessment system according to claim 1, wherein: the construction engineering cost quality evaluation module specifically comprises:
acquiring a construction cost quality evaluation coefficient in the target construction enterprise project information, comparing the construction cost quality evaluation coefficient with a preset construction cost quality evaluation coefficient, and if the construction cost quality evaluation coefficient is smaller than the preset construction cost quality evaluation coefficient, indicating that the construction cost quality evaluation in the target construction enterprise project information is abnormal, immediately informing a construction project manager to check and adjust, otherwise, indicating that the construction cost quality evaluation in the target construction enterprise project information is abnormal.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117808499A (en) * 2024-03-01 2024-04-02 安徽智享云科技有限公司 Engineering cost management method and system based on big data

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117808499A (en) * 2024-03-01 2024-04-02 安徽智享云科技有限公司 Engineering cost management method and system based on big data

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