CN112507442A - BIM project material and engineering cost statistical method - Google Patents
BIM project material and engineering cost statistical method Download PDFInfo
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Abstract
The invention discloses a BIM project material and engineering cost statistical method. The invention comprises the following steps: adding a respective material property to each component of the three-dimensional model; uploading a historical construction cost list to a material center; collecting construction cost information; endowing each cost index in the project cost information with a weighted value, and storing the weighted value in a database; processing each engineering component in the database and then constructing a cost model; inputting the attributes of each component into a cost model to obtain a cost predicted value; and superposing the cost predicted values of all the assemblies to obtain the final project construction cost. The invention constructs the construction cost model in the historical construction cost list of the material center, utilizes the fuzzy recognition technology to recognize the similar construction cost model and input the three-dimensional model to the similar construction cost model to obtain the concrete construction cost of the three-dimensional model, modifies the construction scheme at any time, outputs the construction amount and the construction cost, compares the advantages and disadvantages of the schemes, saves the investment and selects the most favorable and economical scheme.
Description
Technical Field
The invention belongs to the technical field of engineering cost evaluation, and particularly relates to a BIM project material and an engineering cost statistical method.
Background
SketchUp is a set of 3D modeling programs for architects, city planning experts, producers, game developers, and related professionals. At present, in the engineering design of building components, the mass and the gravity center of engineering materials are generally calculated by adopting an engineering drawing drawn by SketchUp software, and then the calculation is completed after the volume, the density and the coordinates of the materials are counted manually. However, based on the SketchUp software, at present, no function capable of automatically generating engineering quantities for columns, beams, plates, walls and stairs through a certain functional module is available in the field of BIM structure design.
According to traditional engineering quantity statistics, cost workers generally manually calculate the engineering quantity of each component according to a two-dimensional design drawing and an engineering quantity list specification, and then input the engineering quantity into a branch project engineering quantity list and a pricing table. According to research, the time of the engineering quantity calculation in the whole engineering cost work is about 50% -80%, and the traditional engineering quantity statistical method is large in workload, long in consumed time and error. When the filled list project amount is traced and inquired, a detailed project amount calculation table needs to be inquired, and the workload is large.
The manual calculation is carried out by the cost personnel who understand the drawing, and the pricing level and the image recognition ability of the cost personnel themselves directly determine the accuracy of the engineering quantity, and the results calculated by different pricing personnel have errors.
Even if some software adopts an electric calculation method, the time consumption is short, the precision is high, if mainstream design software (such as Revit) can automatically calculate and generate a project detail list, the detail list is listed by taking the model construction as an independent unit, the projects are excessively detailed and disordered, the model construction of the same type is not merged and summarized, the project detail list is not in accordance with a project detail list table required by the Chinese list pricing specification, and the later-stage collection of quota for pricing work is not facilitated. Even though some model output inventory software can meet the requirement of inventory specification in China, the model information is lost in the process of importing and exporting models among different software, a large amount of time is spent on budgeting personnel for secondary modeling, and in addition, the matching of model components and inventory subdirectories also takes a large amount of time and energy of the budgeting personnel.
Aiming at the problems, the application document establishes the association between the engineering quantity list and the model construction based on the SketchUp software to the output functions of the building, decoration and electromechanical engineering quantity list, realizes the visual tracing inquiry of the list, ensures the compliance of the project quantity report of the list, improves the efficiency and the accuracy of the compilation of the engineering quantity list, and realizes the quick and efficient design pricing of the scheme.
Disclosure of Invention
The invention aims to provide a BIM project material and project cost statistical method, which obtains the specific cost of a three-dimensional model by constructing a cost model in a historical project cost list of a material center, inputting the attribute data of each component in the three-dimensional model, identifying a similar cost model by using a fuzzy identification technology and inputting the three-dimensional model into the similar cost model, and solves the problems that the prior project cost estimation is inaccurate and investment construction is influenced.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a BIM project material and engineering cost statistical method, which comprises the following steps:
step S1: making a three-dimensional model on the SketchUp according to a project drawing;
step S2: analyzing the three-dimensional model, and decomposing the three-dimensional model into various components;
step S3: picking each component, adding a corresponding material property to the component;
step S4: uploading a historical construction cost list to a material center;
step S5: collecting construction cost information, wherein the collecting of the construction cost information comprises collecting construction enterprises which are construction cost data and construction cost consulting unit data, and building material and machinery hiring supply data;
step S6: endowing each cost index in the project cost information with a weighted value;
step S7: the weighted values of the cost indexes of each different project cost achievement file form a weighted value set as a comprehensive index in the same arrangement sequence, and the weighted value set is stored in a database;
step S8: processing each engineering component in the database and then constructing a cost model;
step S9: inputting the attributes of each component into a cost model to obtain a cost predicted value;
step S10: and superposing the cost predicted values of all the assemblies to obtain the final project construction cost.
Preferably, in step S3, the material properties include length, width, area, volume, number and material.
Preferably, in step S4, the project cost list includes project codes, project names, project characteristics, project measurement units, and project quantities; the factors directly generated by the construction cost comprise labor cost, material cost, mechanical cost and management cost.
Preferably, in step S5, the data is classified according to usage into: the method comprises the steps of quota establishment, index measurement, bid price measurement and engineering cost claim measurement, wherein the engineering cost collection can provide data through a network, the collection range is expanded, the transmission speed is improved, and then necessary processing and information release are carried out on the data through a cloud platform.
Preferably, in step S6, the project type and the index under each project type are used as standard text information, all node attribute information and key attribute fields in the target project cost result file are extracted, a word segmentation algorithm or a SimHash algorithm is performed on the node attribute information and the text information of the key attribute fields, all the node attribute information and the key attribute fields of the file are converted into the standard text information, and thus, the subsection project type information and the list of the project cost result file are analyzed.
Preferably, in step S7, based on each comprehensive index in the database, performing cluster analysis on the comprehensive indexes in the database through a DBSCAN clustering algorithm, designating the comprehensive indexes of the cost achievement file of a certain engineering project as given object core points, and under the condition that the designated sample points are greater than or equal to 1, scanning the comprehensive indexes with the radius within e in the database as target matching sample points, thereby determining the cost achievement file of the approximate engineering project obtained by matching the sample points correspondingly.
Preferably, in step S7, before the weight value sets are stored in the database, the weight value sets are modified into sample sets, specifically:
step S71: the engineering type and indexes under each engineering type project are used as standard construction cost indexes, and all the standard indexes are listed in the form of tree arrays in the sequence of the engineering type and the relation of the sub-engineering thereof;
step S72: matching all the cost indexes of a certain project cost achievement file to corresponding standard indexes in the tree array, wherein the matched standard cost indexes are endowed with weight values of the indexes, the unmatched standard cost indexes are set to be endowed with weight values of 0, and finally, the ownership weight values form a sample number set of the project cost achievement file.
Preferably, in step S9, the selection of the construction cost model requires selecting a similar engineering model for identification, and the specific steps are as follows:
step S91: inputting similar engineering recognition conditions;
step S92: selecting similar projects by adopting a fuzzy recognition technology: before calculating a project cost dynamic control target, screening similar projects in a historical data sample according to the attribute of a cost control object;
step S93: calculating the closeness of the target project controlled by the construction cost and the historical data by adopting a weighted Hamming distance closeness formula;
step S94: determining a proximity threshold according to the number of samples and the proximity of the samples, judging whether the number of similar processes meets the calculation requirement according to the proximity threshold, and entering the next step if the number of similar processes meets the calculation requirement; otherwise, re-determining the proximity threshold;
step S95: generating a similar project cost sequence through a proximity threshold and the similar project quantity;
step S96: the higher the project cost sequence rank is, the more similar the project cost model is.
The invention has the following beneficial effects:
(1) the invention constructs the construction cost model in the historical construction cost list of the material center, inputs the attribute data of each component in the three-dimensional model, identifies the similar construction cost model by using the fuzzy identification technology and inputs the three-dimensional model to obtain the specific construction cost of the three-dimensional model, on one hand, the construction scheme can be modified at any time, and the project amount and the construction cost are output, on the other hand, the advantages and the disadvantages between the schemes can be compared, the investment is saved, and the most favorable and economic scheme is selected.
(2) The operation process is the process of editing and generating the building components, the simulation display in the computer is visual and accurate, the adjustment can be carried out at any time, time and labor are saved, a local structure or a whole component engineering quantity list can be selected at any time to output a space for preparing the autonomous operation of a user, the functions of uniformly drawing, editing and modifying the equipment model according to the user's idea can be realized, the operation efficiency is improved, and the requirements of different users are met.
(3) The risk in the engineering cost is evaluated, the time, the influence range, the degree and the like of the possible occurrence of the risk are determined through analysis, the engineering cost risk evaluation can adopt professional evaluation methods such as a safety detection method, a risk preliminary analysis method, a check table method and the like, a risk questionnaire is made through the risk possibly encountered by a certain specific engineering project in a targeted manner, then the importance of the possible risk factors is evaluated according to related professional experience, so that various risks possibly existing in the whole engineering project are comprehensively summarized, experience is avoided or prevented, data information of each period is timely updated in the project progress, and the reliability of the engineering cost risk evaluation is improved.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a BIM project material and engineering cost statistical method of the present invention;
FIG. 2 is a schematic diagram of a BIM project material and engineering cost statistical system structure of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention is a statistical method for BIM project materials and construction costs, including the following steps:
step S1: making a three-dimensional model on the SketchUp according to a project drawing;
step S2: analyzing the three-dimensional model, and decomposing the three-dimensional model into various components;
step S3: picking each component, adding a corresponding material property to the component;
step S4: uploading a historical construction cost list to a material center;
step S5: collecting construction cost information, wherein the collecting of the construction cost information comprises collecting construction enterprises which are construction cost data and construction cost consulting unit data, and building material and machinery hiring supply data;
step S6: endowing each cost index in the project cost information with a weighted value;
step S7: the weighted values of the cost indexes of each different project cost achievement file form a weighted value set as a comprehensive index in the same arrangement sequence, and the weighted value set is stored in a database;
step S8: processing each engineering component in the database and then constructing a cost model;
step S9: inputting the attributes of each component into a cost model to obtain a cost predicted value;
step S10: and superposing the cost predicted values of all the assemblies to obtain the final project construction cost.
In step S1, the items are classified into "building construction and decoration engineering", "mechanical equipment installation engineering", "thermal equipment installation engineering", "stationary equipment and process metal structure fabrication and installation engineering", "electrical equipment installation engineering", "building intelligence engineering", "automated control instrument installation engineering", "ventilation air conditioning engineering", "industrial pipeline engineering", "fire engineering", "water supply and drainage, heating, gas engineering", and "communication equipment and line engineering".
In step S4, the project cost list includes project codes, project names, project characteristics, project measurement units, and project quantities; the factors directly generated by the construction cost comprise labor cost, material cost, mechanical cost and management cost; the labor cost, the material cost and the mechanical cost can be modified according to the local construction condition, the modified data are automatically stored in preset market price items, and are compared with the budget price to obtain price difference and stored in the price difference items; the main materials and the equipment display the supply mode, the loss rate, the freight rate and the budget price, the budget price can be modified according to the local construction situation, the modified data are automatically stored in the preset market price entry and are compared with the budget price to obtain the price difference, and the price difference is stored in the price difference entry.
The method comprises the steps of confirming elements directly generated by the construction cost, evaluating risks in the construction cost, determining the time, the influence range, the degree and the like of the possible occurrence of the risks through analysis, wherein the construction cost risk evaluation can adopt professional evaluation methods such as a safety detection method, a risk preliminary analysis method, a check table method and the like, making a risk questionnaire by pertinently carrying out the risks possibly encountered by a certain specific engineering project, evaluating the importance of the possible risk factors according to related professional experiences, comprehensively summarizing various possible risks of the whole engineering project, avoiding or preventing the risks by experience, updating data information of each period in time during the project, and improving the reliability of the construction cost risk evaluation.
The calculation formula of the management fee is as follows: (labor cost + material cost + machinery cost + management cost) × (1 + profit margin), the calculation formula of the integrated unit price is: the list project amount is x (labor cost + material cost + machinery cost) x (1 + management rate) x (1 + profit margin).
In step S5, the data is classified into: quota establishment, index measurement, bid price measurement and calculation and engineering cost claim measurement, wherein the engineering cost collection can provide data through a network, the collection range is expanded, the transmission speed is increased, and then necessary processing and information release are carried out on the data through a cloud platform; determining the project content, walking once according to the project in the quota, then writing the compiling description and the budget included project and material price according to the square construction cost according to the design description and referring to the method of an atlas, and properly adjusting or refining the project according to the actual situation of the proposed project so as to reflect the main factors influencing the construction cost.
In step S6, the project type and the index under each project type are used as standard text information, all node attribute information and key attribute fields in the target project cost result file are extracted, a segmentation algorithm or a SimHash algorithm is performed on the node attribute information and the text information of the key attribute fields, all the node attribute information and the key attribute fields of the file are converted into the standard text information, and thus, the subsection project type information and the list of the project cost result file are analyzed.
In step S7, based on the comprehensive indexes in the database, performing cluster analysis on the comprehensive indexes in the database through a DBSCAN clustering algorithm, designating the comprehensive indexes of the cost achievement file of a certain engineering project as given object core points, and under the condition that the designated sample points are greater than or equal to 1, scanning the comprehensive indexes with the radius within e in the database as target matching sample points, thereby determining the cost achievement files of approximate engineering projects obtained by matching the sample points correspondingly.
In step S7, before storing the weight value sets in the database, the weight value sets are modified into sample number sets, specifically:
step S71: the engineering type and indexes under each engineering type project are used as standard construction cost indexes, and all the standard indexes are listed in the form of tree arrays in the sequence of the engineering type and the relation of the sub-engineering thereof;
step S72: matching all the cost indexes of a certain project cost achievement file to corresponding standard indexes in the tree array, wherein the matched standard cost indexes are endowed with weight values of the indexes, the unmatched standard cost indexes are set to be endowed with weight values of 0, and finally, the ownership weight values form a sample number set of the project cost achievement file.
The method comprises the steps that a spatial data model established based on each number set in a database is subjected to clustering analysis on the number sets in the database through a DBSCAN clustering algorithm, the number set of a project cost achievement file of a certain project is appointed to serve as a given object core point, and under the condition that the appointed number of sample points (MinPts) is more than or equal to 1, the number set with the radius within the range of E in a scanning database serves as a target matching sample point, so that the project cost achievement file of approximate project, which is obtained by corresponding matching sample points, is determined. Where e >0, preferably values e of 0.01 unit pitch. The DBSCAN algorithm is used for obtaining a comprehensive index, the comprehensive index corresponds to the part item type and the list characteristic information, if a new urban engineering project line is proposed, whether the part item and the list characteristic information corresponding to the comprehensive index are matched with the proposed engineering project line or not is compared, and the cost index of the proposed engineering project line can be estimated in an auxiliary mode.
In step S9, selecting a cost model requires selecting a similar engineering model for identification, and the specific steps are as follows:
step S91: inputting similar engineering recognition conditions;
step S92: selecting similar projects by adopting a fuzzy recognition technology: before calculating a project cost dynamic control target, screening similar projects in a historical data sample according to the attribute of a cost control object;
step S93: calculating the closeness of the target project controlled by the construction cost and the historical data by adopting a weighted Hamming distance closeness formula;
step S94: determining a proximity threshold according to the number of samples and the proximity of the samples, judging whether the number of similar projects meets the calculation requirement according to the proximity threshold, and entering the next step if the number of similar projects meets the calculation requirement; otherwise, re-determining the proximity threshold;
step S95: generating a similar project cost sequence through a proximity threshold and the similar project quantity;
step S96: the higher the project cost sequence rank is, the more similar the project cost model is.
One specific application of this embodiment is:
in the project classification, different classifications are provided according to different classifications, and the construction property, the content and the position are different:
building construction and decoration engineering are divided into earth and stone engineering, foundation treatment and slope support engineering; pile foundation engineering; building engineering; concrete and reinforced concrete engineering; engineering of a metal structure; engineering of a wood structure; door and window engineering; roof waterproof engineering; heat preservation, heat insulation and corrosion prevention engineering; building floor decoration engineering; decorating and isolating the wall column surface; curtain wall engineering; ceiling engineering; painting, coating and pasting engineering; other decoration projects; dismantling engineering; measure items; and (5) performing auxiliary engineering.
The 'mechanical equipment installation engineering' is divided into installation of cutting equipment; installing forging equipment; installing casting equipment; installing hoisting equipment; installing a crane rail; mounting conveying equipment; installing an elevator; installing a fan; mounting a pump; installing a compressor; installing an industrial furnace; mounting gas generating equipment and other machines;
the thermal equipment installation engineering is divided into medium-pressure boiler body equipment installation; testing and commissioning the medium-pressure boiler in a subsection manner; installing a medium-pressure boiler dust removal device; installing a powder making system of the medium-pressure boiler; the medium pressure boiler smoke, wind and coal pipelines are arranged; installing other auxiliary equipment of the medium-pressure boiler; building a furnace wall of the medium-pressure boiler; installing a turbonator body; mounting auxiliary equipment of the turbonator; installing auxiliary equipment of the turbonator; installing coal unloading equipment; installing mechanical equipment in a coal yard; mounting a coal crushing device; installing coal feeding equipment; hydraulic slag flushing and ash flushing equipment is installed; installing pneumatic ash removal equipment; installing chemical water pretreatment system equipment; the boiler make-up water desalination system is installed; installing condensed water treatment system equipment; installing circulating water treatment system equipment; a water supply and furnace water correction processing system is installed; installing desulfurization equipment; installing low-pressure boiler body equipment; low-pressure boiler accessories and auxiliary equipment;
the static equipment and the process metal structure manufacturing and mounting project are divided into static equipment manufacturing; mounting standing equipment; installing an industrial furnace; manufacturing and installing a metal oil tank; mounting the spherical tank group pair; manufacturing and installing a process metal structure; mounting aluminum, cast iron and nonmetal equipment; mounting a prying block; nondestructive examination; manufacturing and installing a gas holder;
the 'electrical equipment installation engineering' is divided into transformer installation; installing a power distribution device; installing a bus; control equipment and low-voltage electrical installation; installing a storage battery; checking wiring and debugging of the motor; installing a sliding contact line device; installing a cable; lightning protection and grounding devices; overhead distribution lines below 10 KV; piping and wiring; installing a lighting fixture; attaching engineering; electrical adjustment test;
the building intelligent engineering is divided into computer application and network system engineering; comprehensive wiring system engineering; building equipment automation system engineering; a building information integrated management system; cable television, satellite receiving systems; audio, video system engineering; safety protection system engineering; program control exchanger system engineering; information guidance and release system engineering; intelligent light control system engineering; energy metering system engineering; passenger control management control system engineering; parking space guidance system engineering; hotel door lock system engineering;
the 'automatic control instrument installation engineering' comprises a process detection instrument; displaying and adjusting the control instrument; an execution meter; a mechanical quantity meter; process analytic and physical property detecting instrument; performing an instrument loop simulation test; a safety monitoring and warning device; installing and debugging an industrial computer; debugging an instrument pipeline; installing an instrument panel, a box, a cabinet and accessories; installing an instrument accessory;
the ventilation air-conditioning engineering comprises the manufacturing and installation of ventilation and air-conditioning equipment and components; manufacturing and installing a ventilation pipeline; manufacturing and installing ventilation pipeline components; detecting and debugging the ventilation project;
"Industrial pipe work" includes low pressure pipes; a medium pressure pipeline; a high pressure pipeline; a low pressure pipe fitting; a medium pressure pipe; a high pressure pipe fitting; a low pressure valve; a medium pressure valve; a high pressure valve; a low pressure flange; a medium pressure flange; a high pressure flange; manufacturing a pipe fitting; manufacturing and installing a pipe frame; nondestructive flaw detection and heat treatment; manufacturing and installing other projects;
"fire engineering" includes water fire suppression systems; a gas fire suppression system; a foam fire suppression system; an automatic fire alarm system; debugging a fire-fighting system;
the water supply and drainage, heating and gas engineering comprises water supply and drainage, heating and gas pipelines; brackets and others; a pipe fitting; a sanitary fixture; a heating appliance; heating, water supply and drainage equipment; gas appliances and others; medical gas equipment and accessories; debugging a heating and air conditioning water engineering system;
"communication equipment and line engineering" includes communication equipment; mobile communication equipment engineering; and (5) communication line engineering.
Material center: finding matched materials in a material center material library, and endowing the selected materials to the model to enable the model to have the properties of the materials;
the material center is divided into products, doors, windows, units, hangers, brackets and hangers according to different categories;
according to the specialty, the building, decoration, indoor furnishing, ventilation air conditioner, mechanical equipment, water supply and drainage, heating, gas, fire fighting, electrical equipment, oil brushing, corrosion prevention, heat insulation and intellectualization are divided;
the product is divided into: fluid, section steel, lump material and template;
the fluid is divided into: glue, agents, water-proofing, paint, concrete, mortar, mud, coating, putty, epoxy;
the section steel comprises the following components: c-shaped steel, H-shaped steel, T-shaped steel, round steel, I-shaped steel, flat steel, square hollow section steel, seamless steel pipe, channel steel, rectangular hollow section steel and equilateral angle steel;
the block material is divided into: other wall materials, bricks, metal veneer, wood flooring, tiles, blocks, overlay panels, metal mesh, resilient flooring, waterproof, stone, wallpaper, wall cloth, glass, cabinet panels, ceramics, technical veneer, marble, mosaic, insulation panels, electrostatic flooring, organic boards, wood veneer, mirrors, mineral wool decorative panels, granite, rock wool, and the like;
the lower part of each classification is also divided into a plurality of sub-classifications, such as glue, and the glue is divided into 401 glue; 801 building glue; 801 glue; a silicone weather-resistant sealant; PG road joint sealing glue; all-purpose adhesive; marble glue; floor glue; sealing glue; building glue; a silicone structural adhesive; polyurethane foaming sealant; polyvinyl acetate emulsions, and the like.
When the model is made, the block materials are taken as an example, the block materials comprise wall materials, bricks, wood floors, metal veneers, tiles, building blocks, cover plates, metal nets, elastic ground materials, waterproof materials, stones, wallpaper, wall cloth, glass, cabinet boards, ceramics, science and technology veneers, marbles, mosaics, heat insulation boards, electrostatic floors, organic boards, wood veneers, mirrors, mineral wool decorative boards, granite, rock wool and the like, and the marble is taken as an example in the example, and the function usage of the project definition is explained.
Firstly, selecting a project definition module → a building floor decoration project → a block surface layer → selecting a stone building floor → opening a material center → selecting marble in a product column → finding a Venus beige marble brick under the classification of marble (displaying basic information of the material, such as size, material, fire-proof grade and the like in a system library) → pressing a right key to select installation → displaying a block drawing interface.
Block type: divided into lump materials and composite lump materials; the former is a single material, and the latter is composed of more than two materials;
the drawing mode is as follows: the method comprises the steps of product drawing, path drawing and model definition;
the project definition can adopt various drawing modes, such as product drawing, path drawing and model definition; the product drawing is more accurate, and the method can simulate the actual construction details on site, and has two modes of design size and network generation:
the method for designing the size needs to set parameters firstly, and the set parameters are as follows:
setting the name and the model of the material, wherein the name can be selected from a material center;
setting the transverse dimension, such as transverse width and equal division of the marble, wherein the width can be set in a self-defining way; the bisection may be in number for ground size; confirming the transverse size of the marble;
the vertical dimension is set, such as the vertical width and the equal division of the marble, and the vertical height can be set in a user-defined way; the bisection may be in number for ground size; confirming the vertical size of the marble;
setting the height to the ground height, and setting a relative height value;
the external corner is set in a mode of five types in total, and the types can be selected according to requirements;
the texture direction is set and comprises the steps of horizontal, vertical and horizontal-vertical alternation; in these cases, the marble paving direction can be selected according to the requirement;
the seam is arranged, and the width of the transverse seam and the width of the longitudinal seam can be set; pointing material may also be selected.
A network generation method;
the network generation only needs material setting, design size, external corner style and seam setting;
designing the size: directly setting the length and width values of the ceramic tile, wherein the other values are the same as the designed size;
after the installation is finished, the edition task bar is provided with a list pricing function module, and a list pricing report can be clicked and output;
product drawing and path drawing are definable for models, i.e. for items, to output invoices, and the patent details the model definition function. The model definition does not need real marble paving, the model can be fed to the position needing paving to endow the marble paving with the attribute, and the engineering quantity of the model can be rapidly calculated and calculated.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A BIM project material and project cost statistical method is characterized by comprising the following steps: step S1: making a three-dimensional model on the SketchUp according to a project drawing; step S2: analyzing the three-dimensional model, and decomposing the three-dimensional model into various components; step S3: picking each component, adding a corresponding material property to the component; step S4: uploading a historical construction cost list to a material center; step S5: collecting construction cost information, wherein the collecting of the construction cost information comprises collecting construction enterprises which are construction cost data and construction cost consulting unit data, and building material and machinery hiring supply data; step S6: endowing each cost index in the project cost information with a weighted value; step S7: the weighted values of the cost indexes of each different project cost achievement file form a weighted value set as a comprehensive index in the same arrangement sequence, and the weighted value set is stored in a database; step S8: processing each engineering component in the database and then constructing a cost model; step S9: inputting the attributes of each component into a cost model to obtain a cost predicted value; step S10: and superposing the cost predicted values of all the assemblies to obtain the final project construction cost.
2. The BIM project material and engineering cost statistical method of claim 1, wherein in step S3, the material properties include length, width, area, volume, number and material.
3. The BIM project material and project cost statistical method of claim 1, wherein in step S4, the project cost list includes project codes, project names, project characteristics, project measurement units, and project quantities; the factors directly generated by the construction cost comprise labor cost, material cost, mechanical cost and management cost.
4. The BIM project material and engineering cost statistical method of claim 1, wherein in step S5, the data is classified according to purpose into: the method comprises the steps of quota establishment, index measurement, bid price measurement and engineering cost claim measurement, wherein the engineering cost collection can provide data through a network, the collection range is expanded, the transmission speed is improved, and then necessary processing and information release are carried out on the data through a cloud platform.
5. The BIM project material and engineering cost statistical method of claim 1, wherein in step S6, the project type and the index under each project type are used as standard text information, all node attribute information and key attribute fields in the target project cost result file are extracted, a word segmentation algorithm or a SimHash algorithm is performed on the node attribute information and the text information of the key attribute fields, all the node attribute information and the key attribute fields of the file are converted into standard text information, and thus, the subsection project type information and the list of the project cost result file are analyzed.
6. The BIM project material and construction cost statistical method of claim 1, wherein in the step S7, based on the comprehensive indexes in the database, the comprehensive indexes in the database are clustered and analyzed by the DBSCAN clustering algorithm, the comprehensive indexes of the construction cost result file of a certain project are designated as the core points of the given object, and under the condition that the number of designated sample points is more than or equal to 1, the comprehensive indexes with the radius of less than E in the database are scanned as target matching sample points, so that the construction cost result files of approximate projects corresponding to the matching sample points are determined.
7. The BIM project material and project cost statistical method of claim 1 or 6, wherein in the step S7, before storing the weight value sets in the database, the weight value sets are modified into sample sets, specifically:
step S71: the engineering type and indexes under each engineering type project are used as standard construction cost indexes, and all the standard indexes are listed in the form of tree arrays in the sequence of the engineering type and the relation of the sub-engineering thereof;
step S72: matching all the cost indexes of a certain project cost achievement file to corresponding standard indexes in the tree array, wherein the matched standard cost indexes are endowed with weight values of the indexes, the unmatched standard cost indexes are set to be endowed with weight values of 0, and finally, the ownership weight values form a sample number set of the project cost achievement file.
8. The BIM project material and engineering cost statistical method of claim 1, wherein in step S9, the selection of the cost model requires the selection of a similar engineering model for identification, and the specific steps are as follows: step S91: inputting similar engineering recognition conditions;
step S92: selecting similar projects by adopting a fuzzy recognition technology: before calculating a project cost dynamic control target, screening similar projects in a historical data sample according to the attribute of a cost control object;
step S93: calculating the closeness of the target project controlled by the construction cost and the historical data by adopting a weighted Hamming distance closeness formula;
step S94: determining a proximity threshold according to the number of samples and the proximity of the samples, judging whether the number of similar processes meets the calculation requirement according to the proximity threshold, and entering the next step if the number of similar processes meets the calculation requirement; otherwise, re-determining the proximity threshold;
step S95: generating a similar project cost sequence through a proximity threshold and the similar project quantity;
step S96: the higher the project cost sequence rank is, the more similar the project cost model is.
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| CN113095922A (en) * | 2021-05-10 | 2021-07-09 | 广东明正项目管理有限公司 | Engineering quota pricing method and system |
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| CN113095922A (en) * | 2021-05-10 | 2021-07-09 | 广东明正项目管理有限公司 | Engineering quota pricing method and system |
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