CN115796972A - BIM technology-based quantity and price fusion implementation method - Google Patents
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Abstract
The invention discloses a method for realizing quantity and price fusion based on a BIM technology, which comprises a component matching quota algorithm, an intelligent matching project characteristic algorithm and an intelligent collection list quota algorithm, and comprises the following steps: the method comprises the following steps: obtaining a member from a BIM model; step two: extracting the name and the type of the component according to the component obtained in the first step, transmitting the name and the type of the component into a quota database, performing initial retrieval in the database and storing the name and the type of the component by using a plurality of sets; the invention does not limit BIM software, the bottom layer logic is suitable for various BIM software, and the analysis engineering quantity is intelligently calculated and analyzed and the price is charged through computer programming and large database matching application; the method has the advantages that the intelligent collection of lists and quota can be realized, the working strength and professional requirements of cost personnel are greatly reduced, calculated amount and valuation are fused into software, the construction cost is calculated at the same time as long as the model is built, meanwhile, the model is not only used for calculating amount but also can be used for deepening and guiding construction in the construction stage, the light weight and the IoT binding are carried out in the operation and maintenance stage, and the concept that one module has multiple purposes and one module is used for the whole is realized.
Description
Technical Field
The invention belongs to the technical field of engineering quantity and price calculation, and particularly relates to a quantity and price fusion implementation method based on a BIM (building information modeling) technology.
Background
Because the project quantity extraction function of BIM modeling software in the current market cannot be classified according to the quota of our country, the project quantity statistics and calculation of cost speciality cannot be directly carried out. However, through secondary development of BIM software, the function can be realized, and intelligent collection lists and quota can be realized.
Compared with the traditional calculation and cost software, the method has more prominent social value, full professional universality, specialization removal and intellectualization; therefore, the application document provides a quantity and price fusion implementation method based on the BIM technology.
Disclosure of Invention
The invention aims to provide a quantity and price fusion implementation method based on a BIM technology, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a quantity and price fusion implementation method based on a BIM technology comprises a component matching quota algorithm, an intelligent matching item feature algorithm and an intelligent picking list quota algorithm, wherein the component matching quota algorithm comprises the following steps: the method comprises the following steps: obtaining a component from a BIM model;
step two: extracting the name and the type of the component according to the component obtained in the first step, transmitting the name and the type of the component into a quota database, performing initial retrieval in the database and storing the name and the type of the component by using a plurality of sets;
step three: circularly reading each component from the component set obtained in the step two, carrying out secondary classification according to the requirements of different rated subitems including geometric information and surrounding environment, and putting each classification into a component set carrying rated number information;
the intelligent matching project feature algorithm comprises the following steps: step four: carrying out the engineering quantity calculation required by quota statistics on the component set in the third step of the component matching quota algorithm, and carrying out different processing according to different professional components through the algorithm;
step five: extracting the attributes of the material quality, elevation and layer height of the component, performing algorithm matching with keywords in a project feature library according to different material qualities, elevations and layer heights, and performing intelligent combination of project features according to a plurality of keywords;
the intelligent set list quota algorithm comprises the following steps: step six: reading the project characteristics of the components, classifying the project characteristics, and accumulating the component engineering quantities with the same project characteristics;
step seven: reading the quota number and the project characteristics of the component, extracting the calculation base numbers of people, materials, machines, pipes and benefits from a quota database by using the quota number, calculating the comprehensive unit price of the people, materials, machines, pipes and benefits in the comprehensive unit price according to the engineering quantity calculated in the step four, adjusting and judging the quota coefficient by using the project characteristics, calculating the comprehensive price, and endowing the components with the properties of the people, materials, machines, comprehensive unit price and comprehensive price by data binding after the calculation is finished;
step eight: inquiring in a list quota matching big database through the quota number and the item characteristics, searching and matching by taking the quota number and the item characteristics as keywords, finding out a set-up mode with the highest matching degree, acquiring the list number, and endowing the component list label attribute through data binding;
step nine: and (4) creating a double nested data binding interface, putting one or more quota(s) with the same item characteristics in the sixth step and the seventh step into a sub-interface of the double nested data binding interface, putting the list content in the eighth step into a main interface of the double nested data binding interface to form a nested table, and displaying all data in a software main interface after all the steps from the first step to the eighth step are completed.
Preferably, the member in the first step can be any member in the model, and the size and the position of the member can be set according to the requirement.
Preferably, the geometric information in step three includes length, width, height, area, volume and number; the surroundings include the height, the story height, the name and type of the nearby components, above ground or below ground.
Preferably, the treatment method in the fourth step specifically comprises: s1: building, structure, bridge, tunnel, landscape, hot-water heating electricity, intellectuality, the relevant component of electric appearance can carry out the extraction of engineering volume according to the component entity, deducts earlier through the geometric information who extracts the component, then calculates the engineering volume of area, volume, length, number respectively according to quota statistics requirement: s2: the method comprises the steps that steel bars, templates, scaffolds and decoration can extract engineering quantities according to physical quantities or non-physical quantities, solid or virtual building templates, scaffolds, decoration surfaces or steel bar models are built on the surfaces or the inner sides of the solid components according to the steel bars, the templates, the scaffolds and the decoration attached solid components, solid or virtual deduction is carried out, then the area and the volume engineering quantities are calculated according to rated statistics of the templates, the scaffolds and the decoration, the engineering quantities of the length and the weight are calculated according to the types and the shapes of the steel bars, and finally the attributes of the engineering quantities of the professional components are endowed through data binding.
Preferably, the data in the ninth step includes data information of component number, name, project characteristics, engineering quantity, comprehensive unit price and comprehensive price obtained in each previous step.
Compared with the prior art, the invention has the beneficial effects that: the invention does not limit BIM software, the bottom layer logic is suitable for various BIM software, and the engineering quantity is intelligently calculated and analyzed and the price is charged through computer programming and large database matching application;
compared with the existing calculation pricing software in the market, the method can realize intelligent collection of the list and the quota, manual addition of the list and the quota is not needed, or manual matching of the list and the quota is not needed, the working strength and the professional requirements of construction cost personnel are greatly reduced, the calculation and the pricing are integrated into one piece of software, the calculation is completed at the same time as long as the construction cost of the model is built, and the model is not only used for calculation, but also can be used in a construction stage, an operation and maintenance stage and the like, so that the concept of one module with multiple purposes and one module to the bottom is realized.
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FIG. 1 is a data architecture diagram of the present invention;
FIG. 2 is a schematic flow chart of the component matching quota algorithm of the present invention;
FIG. 3 is a schematic flow chart of an intelligent matching project feature algorithm of the present invention;
FIG. 4 is a flow chart of the smart pick-up list rating algorithm 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 to 4, the present invention provides a technical solution: a quantity and price fusion implementation method based on a BIM technology comprises a component matching quota algorithm, an intelligent matching item feature algorithm and an intelligent picking list quota algorithm, wherein the component matching quota algorithm comprises the following steps: the method comprises the following steps: obtaining a component from a BIM model;
step two: extracting the name and the type of the component according to the component obtained in the step one, transmitting the name and the type of the component into a quota database, performing initial retrieval in the database and storing the name and the type of the component by using a plurality of sets, if the name of the component is KL-300x600mm-C30, initially retrieving the quota belonging to the beam in the quota database, and classifying the component into the set of the beams for storage through the judgment;
step three: reading each component in the component set obtained in the second step in a circulating manner, classifying the components for the second time according to the requirements of different sub-items of quota, including geometric information and ambient environment, putting each classification into a component set carrying quota number information, such as the KL-300x600mm-C30 component, judging the ambient environment in the step, taking Jiangsu province quota as an example, if the beam is intersected with the cast-in-place plate, the beam belongs to a beam quota item with a beam plate, if the beam is not intersected with the cast-in-place plate or is intersected with the laminated slab, the beam continues with the beam with a single beam frame, if only a basic component is intersected around, coordinates are also below the ground, the beam belongs to a basic beam quota item, if the geometric shape is that no cast-in-place plate is arranged around the variable cross section, and if a top plate is arranged around the variable cross section, the beam quota item with a special-shaped beam, and subdividing the components into the set with the number to which the quota item through the judgment to store (the quota item set in the data frame in FIG. 1);
the intelligent matching project feature algorithm comprises the following steps: step four: the construction amount required by the quota statistics is calculated for the component set in the third step of the component matching quota algorithm, different processing is carried out according to different specialized components through the algorithm, for example, a concrete component counts the geometric volume according to a quota deduction rule, a pipeline counts the geometric length according to the quota deduction rule, plastering counts the geometric area according to the quota deduction rule, and the construction amount attribute (the construction amount of the component in the data framework of fig. 1) is given to the component through data binding after calculation is finished;
step five: the method comprises the following steps of extracting attributes of material, elevation and layer height of a component, carrying out algorithm matching according to different materials, elevation and layer height and keywords in a project feature library, carrying out project feature intelligent combination according to a plurality of keywords, wherein the KL-300x600mm-C30 component is characterized in that the material information is a pumping-commercial concrete-C30-early strength agent, the elevation information is 20m, the height of a floor where the component is located is 3.2m, fields are transmitted into the project feature library for retrieval by using Jiangsu province quota example, and the combined project feature 1 and concrete type are returned: commercial pump concrete; 2. concrete strength grade: c30; 3. the layer height is less than or equal to 8m; 4. the conveying height is less than or equal to 30m; 5. concrete additive: early strength agent' and endows the component with item characteristic attribute (item characteristic in the data architecture of figure 1) through data binding after combination and generation.
The intelligent collection list quota algorithm comprises the following steps: step six: reading project characteristics of components, classifying the project characteristics, and accumulating component engineering quantities of the same project characteristics (engineering quantity summary in a data architecture of FIG. 1);
step seven: reading the quota number and the project characteristics of the component, extracting the calculation base numbers of people, materials, machines, pipes and benefits from a quota database by using the quota number, calculating the comprehensive unit price of the people, materials, machines, pipes and benefits in the comprehensive unit price according to the engineering quantity calculated in the step four, adjusting and judging the quota coefficient through the project characteristics, calculating the comprehensive price, and endowing the components with the properties of management, comprehensive unit price and comprehensive price of the people and materials and machines through data binding after calculation (basic information of a list item set in a data framework in fig. 1);
step eight: inquiring in a list quota matching big database through the quota numbers and the item features, searching and matching by taking the quota numbers and the item features as key words, finding out a set-up mode with the highest matching degree, acquiring the list numbers, and endowing the attributes of the component list labels (a list item set in a data framework in the figure 1) through data binding;
step nine: and (3) creating a double-nested data binding interface, putting one or more quota of the same project characteristics in the sixth step and the seventh step into a sub-interface of the double-nested data binding interface, putting the list content in the eighth step into a main interface of the double-nested data binding interface to form a nested table, and after all the steps from the first step to the eighth step are completed, displaying all data in a software main interface (displaying the data architecture in the interface in fig. 1).
In this embodiment, preferably, the member in the first step may be any member in the model, and the size and the position of the member may be set according to the requirement.
In this embodiment, preferably, the geometric information in step three includes length, width, height, area, volume, and number; the surrounding environment includes the height, the story height, the name and type of the nearby components, above ground or below ground.
In this embodiment, preferably, the processing method in the fourth step specifically includes: s1: building, structure, bridge, tunnel, landscape, hot-water heating electricity, intellectuality, the relevant component of electric appearance can carry out the extraction of engineering volume according to the component entity, deducts earlier through the geometric information who draws the component, then calculates the engineering volume of area, volume, length, number respectively according to quota statistics requirement: s2: the reinforcing bar, the template, the scaffold frame, fitment can carry out the extraction of engineering volume according to the solid volume or non-solid volume, according to the reinforcing bar, the template, the scaffold frame, the entity component that the fitment is attached to, carry out the entity or virtually establish template, scaffold frame, fitment surface or reinforcing bar model in the surface of entity component or inside, and carry out entity or virtual deduction, then according to quota statistics requirement template, scaffold frame, fitment calculate the area, volume engineering volume, the engineering volume of length and weight is calculated according to reinforcing bar model, shape to the reinforcing bar, give the attribute of each professional component engineering volume through data binding at last.
In this embodiment, preferably, the data in the step nine includes data information of a component number, a name, project characteristics, a project amount, a comprehensive unit price, and a comprehensive price obtained in each previous step.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A method for realizing quantity and price fusion based on BIM technology is characterized in that: the method comprises the following steps:
obtaining the component from the BIM model by using a component reading interface;
acquiring the name, type, geometric size and surrounding environment of the component according to the information parameters carried by the component, then using a component matching rating algorithm to assign rating numbers to the component information parameters and classifying the component information parameters according to rating sub items;
classifying according to quota sub items by calling, calculating the engineering quantity according to different building specialties, extracting information parameters such as material, elevation and floor height of the component, endowing the information parameters of the component with project characteristic fields by using an intelligent matching project characteristic algorithm, and endowing the project characteristic fields into quota sub item classification;
the method comprises the steps of calling the classification of a quota item, reading a quota number and an item feature field of the quota item, using the quota number to extract a calculation base number from a quota database, carrying out man-machine management calculation after quota coefficient adjustment according to the total engineering quantity of the quota item and the item feature, giving information of comprehensive unit price, comprehensive price and quota coefficient adjustment to the quota item after calculation is finished, simultaneously using the quota number and the item feature of the quota item to execute an intelligent collection list quota algorithm, adding one or more quota items into the classification of one list item, and circularly generating a partial item list table.
2. The method for realizing quantity and price fusion based on the BIM technology as claimed in claim 1, wherein: the component matching quota algorithm specifically comprises the following steps:
the method comprises the following steps: obtaining a member from a BIM model;
step two: extracting the name and the type of the component according to the information parameters carried by the component obtained in the first step, transmitting the component into a quota database, performing initial retrieval in the database and storing the component by using a quota item classification set;
step three: circularly reading each component from the component set obtained in the step two, carrying out secondary classification according to the requirements of different quota sub-items, including geometric information and the surrounding environment, and putting each classification into a quota sub-item classification set carrying quota numbering information;
the method for realizing the quantity and price fusion based on the BIM technology according to claim 1, is characterized in that: the intelligent matching project feature algorithm specifically comprises the following steps:
step four: carrying out the engineering quantity calculation required by quota statistics on the component set in the third step of the component matching quota algorithm, and carrying out different processing according to different professional components through the algorithm;
step five: and extracting the attributes of the material, elevation and layer height of the component, matching the attributes with keywords in a project feature library according to different materials, elevations and layer heights, and intelligently combining project features according to a plurality of keywords.
3. The method for realizing quantity and price fusion based on the BIM technology as claimed in claim 1, wherein: the intelligent collection list quota algorithm specifically comprises the following steps:
step six: reading the project characteristics of the components, classifying the project characteristics, and accumulating the component engineering quantities with the same project characteristics;
step seven: reading the quota number and the project characteristics of the component, extracting the calculation base numbers of people, materials, machines, pipes and benefits from a quota database by using the quota number, calculating the comprehensive unit price of the people, materials, machines, pipes and benefits in the comprehensive unit price according to the engineering quantity calculated in the step four, adjusting and judging the quota coefficient by using the project characteristics, calculating the comprehensive price, and endowing the components with the properties of the people, materials, machines, comprehensive unit price and comprehensive price by data binding after the calculation is finished;
step eight: inquiring in a list quota matching big database through the quota numbers and the item features, searching and matching by taking the quota numbers and the item features as key words, finding out a set-up mode with the highest matching degree, acquiring the list numbers, and endowing the attribute of the component list labels through data binding;
step nine: and (5) creating a double-nested data binding interface, putting one or more quota with the same project characteristics in the sixth step and the seventh step into a sub-interface of the double-nested data binding interface, putting the list content in the eighth step into a main interface of the double-nested data binding interface to form a nested table, and after all the steps from the first step to the eighth step are completed, displaying the sub-item list table in the main software interface.
4. The method for realizing quantity and price fusion based on the BIM technology as claimed in claim 1, wherein: the member can be any member in the model, and the size and the position of the member can be set according to the requirement.
5. The method for realizing quantity and price fusion based on the BIM technology as claimed in claim 1, wherein: the geometric information in the third step comprises length, width, height, area, volume and number; the surroundings include the height, the story height, the name and type of the nearby components, above ground or below ground.
6. The method for realizing the quantity and price fusion based on the BIM technology according to claim 1, is characterized in that: the method for calculating and processing the engineering quantity according to different construction specialties specifically comprises the following steps: s1: building, structure, bridge, tunnel, landscape, hot-water heating electricity, intellectuality, the relevant component of electric appearance can carry out the extraction of engineering volume according to the component entity, deducts earlier through the geometric information who draws the component, then calculates the engineering volume of area, volume, length, number respectively according to quota statistics requirement: s2: the method comprises the steps that steel bars, templates, scaffolds and decoration can extract engineering quantities according to physical quantities or non-physical quantities, solid or virtual building templates, scaffolds, decoration surfaces or steel bar models are built on the surfaces or the inner sides of the solid components according to the steel bars, the templates, the scaffolds and the decoration attached solid components, solid or virtual deduction is carried out, then the area and the volume engineering quantities are calculated according to rated statistics of the templates, the scaffolds and the decoration, the engineering quantities of the length and the weight are calculated according to the types and the shapes of the steel bars, and finally the attributes of the engineering quantities of the professional components are endowed through data binding.
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