CN111738486B - Comprehensive management method and system for construction project cost, bid-inviting and consultation - Google Patents
Comprehensive management method and system for construction project cost, bid-inviting and consultation Download PDFInfo
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Abstract
The invention relates to a comprehensive management method and system for construction project cost, bid and consultation, which belong to the technical field of construction projects and are used for improving the accuracy of project result budget.
Description
Technical Field
The invention relates to the technical field of engineering projects, in particular to a comprehensive management method and system for construction cost, bid-inviting and consultation of engineering projects.
Background
The engineering project is a project taking engineering construction as a carrier, and comprises engineering construction of tracks, highways, tunnels, bridges, railways, subways and the like, and takes 'cost budget and standard management' as a core design idea.
The prior Chinese patent with publication number of CN110991990A discloses an engineering project cost management system, which comprises a cloud server and a project manager terminal, wherein a project manager sends a site construction photo to the cloud server through the project manager terminal, the cloud server generates a three-dimensional model according to the site construction photo, and then predicts the construction time and construction cost of the rest part of the engineering project according to the three-dimensional model, so that progress cost information of each sub-project in the engineering project is checked at any time.
In the actual process of carrying out the engineering project, the standard requirements are generally contained in project files, and the project manager needs to improve efficiency, increase materials, employment cost and reduce effects correspondingly if the construction time is actually less than the contractual time due to the self requirements or application requirements, namely, the budget of the engineering project result is influenced by the content of the project files and the self requirements or application requirements of the project manager, so that the project result is always accurately predicted simply based on the project text content in the prior art.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a comprehensive management method for construction project cost, bid-calling and consultation, which has the advantage of more accurate result prediction of the construction project.
The first object of the present invention is achieved by the following technical solutions:
a comprehensive management method for construction project cost, bid-inviting and consultation comprises the following steps:
acquiring project content information and project demand information of the engineering project;
generating material demand information and bid requirement information according to the project content information;
generating material selection information and bid selection information according to the project demand information, the material demand information and the bid demand information;
and generating construction cost information, and/or construction time information and/or engineering effect information according to the material selection information and the bid selection information.
By adopting the technical scheme, when the construction cost, the construction time and the engineering quality of the engineering project are predicted, not only the project content information of the engineering project is considered, but also the project demand information is considered, and the construction cost, the construction time and the engineering effect of the predicted project are calculated through the project content information and the project demand information so as to be favorable for meeting the emphasis of specific project demands, and the calculation result is accurate on the basis of considering the project demand information.
Further, the method comprises the following steps:
modularly dividing the item content information to generate sub-item information; the project demand information comprises sub-demand information which corresponds to the sub-project information one by one;
the construction cost information, the construction time information and/or the engineering effect information are divided into sub-project cost information, sub-project time information and sub-project effect information according to the sub-project information.
By adopting the technical scheme, the whole engineering project is divided into a plurality of sub-projects, each sub-project has sub-project information and sub-project requirements, and the sub-project cost, the sub-project time and the sub-project effect of a single sub-project are independently predicted according to the sub-project information and the sub-project requirements, so that the construction cost, the construction time and the engineering effect of a certain module of the engineering project are limited, and the more specific requirements of the engineering project are further met.
Further, the specific steps of generating the construction cost information according to the material selection information and the bid selection information are as follows:
generating material types and material quantity according to the material selection information;
generating material price information based on the big data and the material type;
the construction cost information is generated according to the material price information and the material quantity information.
By adopting the technical scheme, the material price information calculated according to the material types and the big data is more accurate, so that the construction cost information calculated by the material price information and the material quantity information is more accurate, and the construction cost can be predicted more accurately.
Further, the specific steps of generating the construction time information according to the material selection information and the bid selection information are as follows:
acquiring engineering team information according to the bid selection information;
generating construction efficiency information based on the big data and the engineering team information;
generating engineering quantity information according to the project content information;
and generating the construction time information according to the engineering quantity information and the construction efficiency information.
By adopting the technical scheme, more accurate construction efficiency information can be calculated based on big data and engineering team information, so that more accurate construction time information can be predicted according to engineering quantity information and construction efficiency information, and more accurate prediction of the construction time is facilitated.
Further, the specific step of generating the construction time information according to the material selection information and the bid selection information further includes:
generating possible component information according to the material selection information;
and adjusting the engineering quantity information according to the possible component information.
By adopting the technical scheme, some building materials can be sold in the form of components, and at the moment, if the material components are selected, the engineering quantity of engineering projects can be reduced, so that the engineering quantity is more selected, the construction time is more selected, and the construction time requirement is less.
Further, the specific steps of generating engineering effect information according to the material selection information and the bid selection information are as follows:
generating material effect information based on the big data and the material selection information;
generating construction effect information based on the big data and the bid selection information;
and generating the engineering effect information according to the material effect information and the construction effect information.
By adopting the technical scheme, the material effect information generated according to the material selection information and the big data is accurate, and the construction effect information generated according to the bid selection information and the big data is accurate, so that the engineering effect information generated according to the material passing information and the construction effect information is accurate.
Further, the method comprises the following steps:
generating a construction cost threshold, a construction time threshold and an engineering effect threshold according to the project demand information;
generating the material demand threshold and the bid-inviting demand threshold according to the construction cost threshold, the construction time threshold and the engineering effect threshold;
generating a material selection range and a bid selection range according to the material demand threshold and the bid demand threshold;
and generating selectable scheme information according to the material selection range and the bid selection range.
By adopting the technical scheme, the material requirement threshold and the bid requirement threshold are determined according to the specific requirements of project requirement information, namely the construction cost threshold, the construction time threshold and the engineering effect threshold, the selectable material selection range and the bid selection range are generated according to the material requirement threshold and the bid requirement threshold, and elements of the material selection range and the bid selection range are combined to form selectable scheme information for engineering projects to select, so that the method is favorable for further meeting the specific requirements of the engineering projects.
Further, the method comprises the following steps: and comparing the selectable scheme information to generate comparison result information.
By adopting the technical scheme, the selectable scheme information is compared to generate the comparison result information, so that the advantages and the defects of the scheme are determined more intuitively, the project responsible person is facilitated to select the scheme according to the selectable scheme information and the comparison result information, and the efficiency of the project responsible person to consult and determine the project scheme is improved.
Further, the method comprises the steps of: and carrying out fuzzy analysis on the construction cost information, the construction time information and/or the engineering effect information based on the big data so as to generate a construction cost fuzzy result, a construction time fuzzy result and/or an engineering effect fuzzy result.
By adopting the technical scheme, the construction cost information, the construction time information and the engineering effect information which are obtained by calculation are determined relatively, and because of the uncertainty of other factors, fuzzy analysis is required to be carried out on a relatively determined result, so that a more accurate result range is generated.
The invention aims at providing a comprehensive management system for construction project cost, bid-calling and consultation, which can meet different requirements of different construction projects.
The second object of the present invention is achieved by the following technical solutions:
an integrated management system for construction project cost, bid-inviting and consultation, comprising:
the information acquisition module is used for acquiring project content information and project demand information of the engineering project;
the demand information generation module is used for generating material demand information and bid-inviting demand information according to the project content information;
the selection information generation module is used for generating material selection information and bid selection information according to the project demand information, the material demand information and the bid demand information;
and the result prediction module is used for generating construction cost information, construction time information and engineering effect information according to the material selection information and the bid selection information.
By adopting the technical scheme, the information acquisition module can acquire project content information and project demand information, the demand information generation module generates material demand information and bid demand information according to the project content information and the project demand information, the selection information generation module generates material selection information and bid selection information according to the project demand information, the material demand information and the bid demand information, and the result prediction module predicts the result, namely construction cost information, construction time information and engineering effect information according to the material selection information and the bid selection information, so that more accurate prediction of the project result according to the project content and project demand is realized, and the requirements of different projects in different emphasis directions are also met.
In summary, the present invention includes at least one of the following beneficial technical effects:
1. the method and the system can be used for more accurately predicting the construction cost, the construction time and the engineering effect of the engineering project by combining project content information and project demand information, and also can meet different requirements of different engineering projects;
2. the sub-requirement information is proposed corresponding to the sub-project information, so that the more specific requirements of the engineering project are further met;
3. and the construction cost, the construction time and the engineering effect are predicted based on big data, and the prediction result is accurate.
Drawings
FIG. 1 is a schematic flow chart of a method according to an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, a comprehensive management method for construction project cost, bid-inviting and consultation includes the following steps in sequence:
s101: and acquiring project content information and project demand information of the engineering project.
Project content information, i.e. the work content required by the project, generally includes the work required by the project, such as bridge erection, building construction, tunnel excavation, etc., and may also include general requirements or national standard requirements of the project, such as width/length/structural strength of bridges/roads/tunnels, height of buildings/tunnels, smoothness of building surfaces, fire/water resistance level, etc.; the project requirement information, namely other requirements besides project file content, is generally specific requirements set by a project first party and/or a project responsible person according to own needs or application needs, such as actual requirements different from general requirements or national standards set by specifications, smoothness, waterproof and fireproof levels, construction periods, fund supply and the like of the whole or some parts of the project.
Building is built in one example, a first party of an engineering project pays out ten millions of RMB to build a building, a project responsible person knows that the first party will use the building for business and takes a top building as an own office residence with high probability, the project responsible person plans at least two million RMB to be completed within three years, and the building framework is not planned to be constructed in plum rainy seasons (namely 6 and 7 months each year) and provides project files for the first party; the specification drawing, the grade requirement and the like in the project file are subordinate to the project content information, and the responsible person predicts the profit and does not plan to construct in the plum rainy season, and the requirements of meeting the first party preference and providing higher than the general requirements or the national standard for the attire are subordinate to the project requirement information.
S102: and generating material demand information and bid demand information according to the project content information.
The construction equipment comprises the types and the quantities of equipment required in the construction process, such as an excavator, a forklift, a crane, a transport vehicle, a lifter and the like, and the material requirement information reflects the material requirement of the engineering project.
The bid-requiring information is the size, the number, the types and the like of engineering teams required by engineering projects according to project content, such as building construction projects are required when building construction is carried out, the engineering teams arranged by building line devices are required when building line devices are arranged, and the bid-requiring information is the requirement of the engineering teams determined according to specific working content related to the engineering projects.
The project content information is generally completely contained in the project file, and the process of generating the material requirement information and the bid requirement information according to the project content information, namely, the process of determining the equipment material list and the engineering team selection standard of the engineering project according to the project file, is a conventional process in the prior art, and is not described herein.
The requirements of the engineering team are set by the required specification size, grade requirements, construction period and other result standards, including the requirements of the engineering team on employment cost, construction efficiency, construction effect and the like of the engineering team.
S103: and generating material selection information and bid selection information according to the project demand information, the material demand information and the bid demand information.
The material selection information is the specific selectable type number of various building materials and construction equipment, and the bid selection information is the specific selectable engineering team name. The process of generating the material selection information and the bid selection information according to the project requirement information, the material selection information and the bid requirement information is that the selectable types of building materials and construction equipment and selectable engineering team names are locked through project file content and the self requirement/application requirement of a project responsible person, and the building materials, the construction equipment and the engineering team simultaneously meet the requirements set forth by the project file and the personal requirements of the project responsible person.
In an example corresponding to the above example, the completion effect of each aspect of the building roof is far higher than the requirement of the project file, other parts are higher than 5% of the project file standard, and the construction period can involve six months of rainy seasons, the rainy seasons can not carry out tasks such as building construction and indoor decoration, but the tasks such as setting electric circuits and electric devices of the building can be carried out, so the project is roughly divided into five parts, namely building skeleton construction, building roof construction, building roof construction, building integral electric setting, building roof outer and other floor inner decoration and building roof inner decoration, when materials are selected, materials used by the building roof and materials used by other floors outside the building roof are different, like the selected floor tiles, the selectable types of the roof can be A1, A2 and A3, and the selectable floor tiles of other floors can be B1, B2 and B3, namely, the material requirement information shows that the types and the quantity of the materials of the project information can be selected by the specific materials, and the specific requirements of the materials can be selected by the specific requirements of the people, and the paving requirements of the materials can be further selected according to the requirements of the specific requirements of the materials.
Gaps among floor tiles of a top building are not more than 2mm, gaps among floor tiles of other floors are not more than 5mm, effects of different equipment and/or different engineering teams and different engineering teams on paving floor tiles are different, so that requirements of gaps among the floor tiles of the top building and the floor tiles of other floors are different, further requirements are put forward on materials, equipment and engineering teams, and the requirements limit selectable floor tile models, paving equipment models, engineering team names and the like.
In addition, for a team, the related work of the engineering project is abundant, different teams may all relate to the work fields of a plurality of engineering projects, but the good work of each team may be different, so that the team with good construction effect on the parts needs to be selected according to the actual requirement of the engineering project, and the requirement of the team on the parts with lower construction effect is correspondingly lower.
S104: and generating construction cost information, construction time information and engineering effect information according to the material selection information and the bid selection information.
Under the condition that the specific selection range of the material selection information is determined, namely the specific selection range of the material and the specific selection type number of the device are determined, the cost required by the material and the device can be calculated according to the amount of the material and the device required, under the condition that the specific selection range of the engineering team is determined, the cost required by the hiring engineering team can be calculated according to the historical quotation of the engineering team, the construction efficiency of the engineering team can be calculated according to the historical construction efficiency of the engineering team, and the construction time of each part of the engineering project can be calculated according to the construction efficiency of each part of the engineering team from the engineering amount of each part of the engineering project, so that the total construction time of the engineering project is calculated.
Of course, when selecting materials, some materials can be selected as single pieces, and components can be selected, for example, for a large-sized lighting device, the engineering amount is definitely saved compared with the assembly of the purchased components, but the engineering amount is saved, the cost is definitely increased, namely, the engineering amount is reduced and the cost is increased when the components are selected compared with the single pieces, otherwise, the engineering amount and the cost are increased, so that the specific requirements of construction time and fund limitation are met, and for the single pieces which can be assembled, at least three conditions can be selected: all selected singlets, all selected components, or part singlets and part components in combination.
When the types of the materials and the devices are known, the market price of each type of the materials and the devices can be calculated based on the big data, and in the case of optional types of the material components, the market price of each material component can also be calculated based on the big data.
In one example, the principle of calculating the price of a material, device, material component based on big data is: the method comprises the steps of acquiring historical unit price information and a plurality of pieces of real-time unit price information of an article to be purchased based on a time axis, determining a price trend and a price range trend of the article according to the trend of the historical unit price information, and determining a price range in which the article is likely to be located when the article is purchased based on the time axis according to the real-time unit price information, the price trend and the price range trend. The unit price calculated by the method for calculating the unit price of the material, the device and the material assembly based on the big data is accurate, so that the price required by the total amount of the material, the device and the material assembly is calculated accurately.
The construction effect of materials, devices and material components of each model can be calculated based on big data, and the calculation mode is also calculated based on a time axis, historical information and real-time information so as to calculate the accurate construction effect of using the materials, devices and material components.
Similarly, for an engineering team, under the condition that the historical employment price, the historical construction efficiency and the historical construction effect of the engineering team are recorded (the construction efficiency is calculated and known by the historical engineering quantity and the corresponding historical construction time, and the historical construction efficiency is calculated and known by the acceptance record in completion), the construction cost information, the construction time information and the engineering effect information of the whole engineering project can be calculated and known by combining the engineering quantity of the engineering project and the price, the construction effect and the construction efficiency calculated and known by the materials, the devices and the material components, and the materials and the material components can be randomly combined to generate a plurality of alternative schemes when the optional model of the materials, the device and the material components and the optional name of the engineering team are set, and the materials, the device and the material components of different alternative schemes are selected differently/the engineering team are selected, namely a plurality of project file schemes are formed.
As mentioned above, the project requirement information may be some fuzzy requirements, or may be specific values, such as a construction cost threshold (e.g., less than eight million RMB in the example), a construction time threshold (e.g., less than thirty months in the example), and an engineering effect threshold (e.g., no more than 5/2mm gaps between tiles in the example). The construction cost threshold, the construction time threshold and the engineering effect threshold can be used for calculating the corresponding material requirement threshold and the bid requirement threshold, so that a finer material selection range and a bid selection range are generated, and selectable scheme information is generated.
After the selectable schemes are generated, any two selectable schemes can be compared, comparison result information is generated, and the comparison result information can directly reflect the difference of the two selectable schemes, so that project charge persons can know the specific difference of different selectable schemes.
Because various results obtained by big data calculation are accurate, and other unaccounted factors possibly exist in the actual process to influence the calculated construction cost information, construction time information and engineering effect information, in order to further improve the accuracy of the calculation results, fuzzy calculation is generally carried out on the calculation results of each scheme to obtain the construction cost fuzzy result, the construction time fuzzy result and the engineering effect fuzzy result, so that a more accurate result range is generated, and the calculation results of the engineering results are more accurate.
Because the engineering project can be divided into a plurality of sub-projects, a single sub-project comprises sub-project information, and sub-requirement information can be provided for a single sub-project, so that the sub-project cost information, sub-project time information and sub-project effect information of the single sub-project can be selectively budgeted by adopting the same analysis principle, so that more accurate result budgeting is performed when the engineering project only needs a sub-project outside a project file, the prediction calculation workload is reduced, and more specific requirements of the engineering project are further met.
The implementation principle of the embodiment is as follows:
when predicting the project result, calculating material demand information and bid demand information according to project content information related in project files and specific demands of project responsible persons on the project outside the project files, so as to calculate material selection information and bid selection information, and further calculating construction cost information, construction time information and project effect information of the project based on big data. The result prediction of the engineering project not only considers the requirement of project files, but also considers other requirements of project charge staff on the engineering project, and the result of the engineering project can be calculated more accurately obviously after the project scheme is defined by one sentence of other requirements.
Embodiment two:
the comprehensive management system for construction project cost, bid and consultation comprises an information acquisition module for acquiring project content information and project demand information of the project, a demand information generation module for generating material demand information and bid demand information according to the project content information, a selection information generation module for generating material selection information and bid selection information according to the project demand information, the material demand information and the bid demand information, and a result prediction module for generating construction cost information, construction time information and engineering effect information according to the material selection information and the bid selection information.
The various changes and specific examples in the project cost, bid and consultation integrated management method in the foregoing embodiment are equally applicable to the project cost, bid and consultation integrated management system in this embodiment, and by the foregoing detailed description of the project cost, bid and consultation integrated management method, those skilled in the art can clearly know the implementation method of the project cost, bid and consultation integrated management system in this embodiment, so that the details of this embodiment will not be described in detail herein for the sake of brevity of the specification.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The embodiments of the present invention are all preferred embodiments of the present invention, and are not intended to limit the scope of the present invention in this way, therefore: all equivalent changes in structure, shape and principle of the invention should be covered in the scope of protection of the invention.
Claims (9)
1. The comprehensive management method for construction project cost, bid-inviting and consultation is characterized by comprising the following steps:
acquiring project content information and project demand information of the engineering project;
generating material demand information and bid requirement information according to the project content information;
generating material selection information and bid selection information according to the project demand information, the material demand information and the bid demand information;
generating construction cost information, and/or construction time information, and/or engineering effect information according to the material selection information and the bid selection information; the specific steps for generating the construction cost information according to the material selection information and the bid selection information are as follows:
generating material types and material quantity according to the material selection information;
generating material price information based on the big data and the material type;
generating the construction cost information according to the material price information and the material quantity information;
the principle of calculating the prices of the material single piece, the device and the material component based on big data is as follows: the method comprises the steps of acquiring historical unit price information and a plurality of pieces of real-time unit price information of an article to be purchased based on a time axis, determining a price trend and a price range trend of the article according to the trend of the historical unit price information, and determining a price range in which the article is likely to be located when the article is purchased based on the time axis according to the real-time unit price information, the price trend and the price range trend.
2. The method for integrated management of construction project cost, bidding and consultation according to claim 1, further comprising the steps of:
modularly dividing the item content information to generate sub-item information; the project demand information comprises sub-demand information which corresponds to the sub-project information one by one;
the construction cost information, the construction time information and/or the engineering effect information are divided into sub-project cost information, sub-project time information and sub-project effect information according to the sub-project information.
3. The method for comprehensively managing construction project cost, bid and consultation according to claim 1, characterized by the specific steps of generating construction time information according to material selection information and bid selection information, including:
acquiring engineering team information according to the bid selection information;
generating construction efficiency information based on the big data and the engineering team information;
generating engineering quantity information according to the project content information;
and generating the construction time information according to the engineering quantity information and the construction efficiency information.
4. The method for integrated management of construction project cost, bid and consultation according to claim 1, characterized in that the specific step of generating construction time information according to the material selection information and bid selection information further comprises:
generating possible component information according to the material selection information;
and adjusting engineering quantity information according to the possible component information.
5. The method for comprehensively managing construction project cost, bid and consultation according to claim 1, characterized in that,
the specific steps for generating engineering effect information according to the material selection information and the bid selection information are as follows:
generating material effect information based on the big data and the material selection information;
generating construction effect information based on the big data and the bid selection information;
and generating the engineering effect information according to the material effect information and the construction effect information.
6. The method for comprehensively managing construction project cost, bid and consultation according to any one of claims 1 to 5, characterized in that,
the method further comprises the steps of:
generating a construction cost threshold, a construction time threshold and an engineering effect threshold according to the project demand information;
generating a material demand threshold and a bid-inviting demand threshold according to the construction cost threshold, the construction time threshold and the engineering effect threshold;
generating a material selection range and a bid selection range according to the material demand threshold and the bid demand threshold;
and generating selectable scheme information according to the material selection range and the bid selection range.
7. The integrated management method for construction project cost, bidding and consultation according to claim 6, characterized in that the method further comprises the steps of: and comparing the selectable scheme information to generate comparison result information.
8. The integrated management method for construction project cost, bidding and consultation according to claim 7, characterized in that the method comprises the following steps: and carrying out fuzzy analysis on the construction cost information, the construction time information and/or the engineering effect information based on the big data so as to generate a construction cost fuzzy result, a construction time fuzzy result and/or an engineering effect fuzzy result.
9. The utility model provides a project cost, sign, consulting integrated management system which characterized in that includes:
the information acquisition module is used for acquiring project content information and project demand information of the engineering project;
the demand information generation module is used for generating material demand information and bid-inviting demand information according to the project content information;
the selection information generation module is used for generating material selection information and bid selection information according to the project demand information, the material demand information and the bid demand information;
the result prediction module is used for generating construction cost information, construction time information and engineering effect information according to the material selection information and the bid selection information;
the specific steps for generating the construction cost information according to the material selection information and the bid selection information are as follows:
generating material types and material quantity according to the material selection information;
generating material price information based on the big data and the material type;
generating the construction cost information according to the material price information and the material quantity information;
the principle of calculating the prices of the material single piece, the device and the material component based on big data is as follows: the method comprises the steps of acquiring historical unit price information and a plurality of pieces of real-time unit price information of an article to be purchased based on a time axis, determining a price trend and a price range trend of the article according to the trend of the historical unit price information, and determining a price range in which the article is likely to be located when the article is purchased based on the time axis according to the real-time unit price information, the price trend and the price range trend.
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| CN113256266B (en) * | 2021-06-10 | 2022-08-30 | 陕西合友网络科技有限公司 | Building construction data archiving processing method and system based on data analysis and computer storage medium |
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