CN115525959B

CN115525959B - Engineering cost data analysis method and platform based on big data analysis and cloud computing

Info

Publication number: CN115525959B
Application number: CN202211417013.XA
Authority: CN
Inventors: 王晓觅; 朱静; 李平; 赵骏
Original assignee: Jiangsu Jianke Engineering Consulting Co ltd
Current assignee: Jiangsu Jianke Engineering Consulting Co ltd
Priority date: 2022-11-14
Filing date: 2022-11-14
Publication date: 2023-04-07
Anticipated expiration: 2042-11-14
Also published as: CN115525959A

Abstract

The invention provides a project cost data analysis method and a project cost data analysis platform based on big data analysis and cloud computing, wherein a first BIM model is segmented according to BIM sub-modules included in each classification set to obtain a corresponding second BIM model; training according to the two-dimensional label information and the corresponding project cost sub-information to obtain a project data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display diagram; and the engineering data analysis model determines a normal BIM submodule, an abnormal BIM submodule, a normal third BIM model and an abnormal third BIM model, and displays the abnormal BIM submodule and the abnormal third BIM model in a third mode to generate a third BIM model display diagram.

Description

Engineering cost data analysis method and platform based on big data analysis and cloud computing

Technical Field

The invention relates to the technical field of cloud computing, in particular to a project cost data analysis method and a project cost data analysis platform based on big data analysis and cloud computing.

Background

At present, the construction cost advisory service industry has formed a scale in the international market. The construction cost consultation service of foreign engineering construction projects starts earlier and has abundant experience of the construction cost consultation service. The cost consultation service industry in China is not mature compared with foreign countries. With the development trend of large construction scale, high complexity and large investment sum of the project of the engineering construction in China, at present, the traditional staged and single construction cost consultation service entrusting service mode is easy to have the conditions of different information between the construction cost consultation stages, inaccurate data, low management efficiency and the like, and can not meet the development requirement of the modern construction cost consultation service market.

Chinese patent No. CN115034911A, discloses a total process cost consultation service method and system based on BIM, the system includes: the investment decision management module is used for adding preliminary cost data according to the constructed preliminary three-dimensional model and acquiring cost estimation information of the engineering project; the design management module is used for determining a final design scheme to obtain a BIM (building information modeling) model of the engineering project; the bid inviting and bidding management module is used for formulating and releasing bid inviting information; integrating bid winning information of different construction parts of the engineering project into a BIM (building information modeling) model of the engineering project; the construction management module is used for auditing the construction cost of each construction stage of the engineering project and adjusting the construction period and the capital plan; the completion acceptance management module is used for comparing the actual completion condition of the engineering project with the bidding construction drawing to obtain cost adjustment information and integrating the cost adjustment information into the BIM model of the engineering project; the prior technical scheme improves the convenient level and the management level of the intercommunication of the construction cost data of each stage and improves the capability of the construction cost consultation service of the whole process of the construction project.

However, in an actual application scenario, in the prior art, the sub-modules of a larger BIM model cannot be automatically decomposed according to the requirements of a user and the engineering progress, and different sub-modules in the BIM model cannot be combined according to the requirements of the user, so that the engineering cost cannot be analyzed in a manner of combining big data.

Disclosure of Invention

The embodiment of the invention provides a project cost data analysis method based on big data analysis and cloud computing, which can automatically decompose submodules of a big BIM according to project progress and requirements by combining the requirements of a user, combine different submodules in the BIM and analyze project cost by combining big data.

In a first aspect of the embodiments of the present invention, there is provided a method for analyzing engineering cost data based on big data analysis and cloud computing, including:

the method comprises the steps that a cloud server receives BIM model building data sent by a building end, the BIM model building data comprise a plurality of BIM sub-modules, and a corresponding first BIM model is built and generated according to the BIM sub-modules;

classifying all BIM sub-modules according to one-dimensional label information of each BIM sub-module to obtain a plurality of classification sets, segmenting a first BIM model according to the BIM sub-modules included in each classification set to obtain a corresponding second BIM model, and displaying the second BIM model in a first mode to generate a first BIM model display diagram;

extracting two-dimensional label information corresponding to each BIM submodule, and traversing in an engineering building database according to the two-dimensional label information to obtain the engineering cost sub-information corresponding to each two-dimensional label information;

selecting at least one BIM submodule in a BIM model display diagram according to selected information of an analysis end, determining a corresponding third BIM model according to a classification set where the BIM submodule is located, counting two-dimensional label information corresponding to the BIM submodule included in each third BIM model, training according to the two-dimensional label information and the corresponding engineering cost sub-information to obtain an engineering data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display diagram;

and inputting the cost analysis information input by the analysis end into an engineering data analysis model, determining a normal BIM submodule, an abnormal BIM submodule, a normal third BIM model and an abnormal third BIM model by the engineering data analysis model, and displaying the abnormal BIM submodule and the abnormal third BIM model in a third mode to generate a third BIM model display diagram.

Optionally, in a possible implementation manner of the first aspect, the receiving, by the cloud server, BIM model building data sent by a building end, where the BIM model building data includes a plurality of BIM sub-modules, and generating a corresponding first BIM model according to the building of the BIM sub-modules includes:

the BIM model construction data comprises the position relations of all BIM sub-modules, and the BIM sub-modules are three-dimensional model images;

and assembling and constructing all three-dimensional model images according to the position relation of all BIM sub-modules to generate a first fused three-dimensional structure, and forming a first BIM model according to the first fused three-dimensional structure.

Optionally, in a possible implementation manner of the first aspect, the classifying all the BIM sub-modules according to the one-dimensional tag information of each BIM sub-module to obtain a plurality of classification sets, segmenting the first BIM model according to the BIM sub-modules included in each classification set to obtain a corresponding second BIM model, and displaying the second BIM model in a first mode to generate a first BIM model display diagram, including:

receiving segmentation dimensions of a user, wherein the segmentation dimensions correspond to segmentation level information in one-dimensional label information;

extracting one-dimensional label information of each BIM submodule, wherein different one-dimensional label information corresponds to different building units, and classifying all BIM submodules according to the one-dimensional label information and the segmentation level information of each BIM submodule to obtain a plurality of classification sets;

selecting three-dimensional model images corresponding to all BIM sub-modules in the classification set, taking a fusion image formed by the three-dimensional model images selected by each classification set as a second fusion three-dimensional structure, and forming a second BIM according to the second fusion three-dimensional structure;

and determining the three-dimensional image edge of the second fused three-dimensional structure to obtain the outline of the second BIM model, and displaying the outline of the second BIM model in a first mode to generate a first BIM model display diagram.

Optionally, in a possible implementation manner of the first aspect, the extracting one-dimensional tag information of each BIM sub-module, where different one-dimensional tag information corresponds to different building units, and classifying all the BIM sub-modules according to the one-dimensional tag information and the segmentation level information of each BIM sub-module to obtain a plurality of classification sets, includes:

acquiring the level grade of each one-dimensional label information, wherein the level grade is pre-configured by a construction end;

if the lowest level grade in the level grades is judged to be larger than the segmentation dimension, taking the lowest level grade of the corresponding one-dimensional label information as the segmentation level information of the corresponding BIM submodule;

if the grade level less than or equal to the segmentation dimension exists in the grade levels, taking the grade of the corresponding segmentation dimension as the segmentation grade information of the corresponding BIM submodule;

and classifying all BIM sub-modules according to the segmentation level information and the one-dimensional label information corresponding to each BIM sub-module, so that all BIM sub-modules with the same segmentation level information and the corresponding one-dimensional label information are in the same classification set.

Optionally, in a possible implementation manner of the first aspect, the determining a three-dimensional image edge of the second fused three-dimensional structure to obtain a contour of the second BIM model, and displaying the contour of the second BIM model in a first mode to generate a first BIM model display diagram includes:

acquiring the edge line of the three-dimensional model image corresponding to each BIM submodule in the second fusion three-dimensional structure,

if the edge line of any one three-dimensional model image is judged to be in contact with other three-dimensional model images in the same second fused three-dimensional structure, the corresponding edge line is taken as a non-contour edge line;

if the edge line of any one three-dimensional model image is judged not to be in contact with other three-dimensional model images in the same second fused three-dimensional structure or the edge line of any one three-dimensional model image is judged to be in contact with other three-dimensional model images not in the same second fused three-dimensional structure, the corresponding edge line is taken as a contour edge line;

displaying contour edge lines of all three-dimensional model images in a first mode to generate a first BIM model display diagram;

and counting the lengths of all the non-contour edge lines to obtain a first contour length, counting the lengths of all the contour edge lines to obtain a second contour length, calculating according to the first contour length and the second contour length to obtain an edge contour line ratio, and generating a position relation remark of each second fused three-dimensional structure according to the edge contour line ratio.

Optionally, in a possible implementation manner of the first aspect, the counting lengths of all non-contour edge lines to obtain a first contour length, counting lengths of all contour edge lines to obtain a second contour length, performing calculation according to the first contour length and the second contour length to obtain an edge contour line occupation ratio, and generating a position relationship remark of each second fused three-dimensional structure according to the edge contour line occupation ratio includes:

obtaining the length sum of the total contour according to the length of the first contour and the length of the second contour, comparing the length sum with a preset length to obtain a length deviation coefficient, and calculating according to the length deviation coefficient and a preset weight proportion to obtain a calculated weight proportion;

calculating according to the second contour length, the sum of the lengths and the calculation weight proportion to obtain an edge contour line occupation ratio, calculating the edge contour line occupation ratio through the following formula,

wherein b is the ratio of the edge contour lines, l ₁ Is a first profile length, l ₂ Is the second contour length, k is the predetermined weight ratio, l _per To a predetermined length, g _l Normalizing the coefficient values for length;

if the edge contour line occupation ratio is smaller than or equal to a first preset occupation ratio value, generating a position relation remark which is a central position;

if the edge outline ratio is larger than a first preset ratio and smaller than or equal to a second preset ratio, generating a position relation remark of the middle position;

and if the edge outline ratio is greater than a second preset ratio, generating a position relation remark of the edge position.

Optionally, in a possible implementation manner of the first aspect, the selecting at least one BIM sub-module in a BIM model display diagram according to selected information of an analysis end, determining a corresponding third BIM model according to a classification set where the BIM sub-module is located, counting two-dimensional tag information corresponding to the BIM sub-module included in each third BIM model, training according to the two-dimensional tag information and the corresponding engineering cost sub-information to obtain an engineering data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display diagram includes:

determining two-dimensional label information corresponding to BIM sub-modules included in each third BIM model, obtaining a project cost interval corresponding to each two-dimensional label information according to each two-dimensional label information and the corresponding project cost sub-information, and calculating an interval value of each project cost interval;

calling a type weight corresponding table which is correspondingly set in advance, wherein a preset weight group corresponding to the type of the two-dimensional label information is arranged in the type weight corresponding table, and the weight group comprises an increasing weight value and a decreasing weight value;

performing offset training calculation on the maximum value and the minimum value of the engineering cost interval according to the weight set and the interval value of the type of the two-dimensional label information to obtain the engineering cost interval after the offset training calculation;

calculating by the following formula to obtain the maximum value and the minimum value of the engineering cost interval after the offset training calculation,

wherein the content of the first and second substances,

for the maximum value of the calculated construction cost range for the offset training, based on the maximum value of the calculated construction cost range for the offset training>

For the maximum value of the project cost interval before the offset training calculation, a is an increasing constant value, k _inc To increase the weight value>

For the minimum value of the project cost interval before the deviation training calculation, a is a decreasing constant value, and->

Minimum value, k, of engineering cost interval calculated for offset training _red To reduceA weight value;

and generating an engineering data analysis model according to the engineering cost interval after the offset training calculation, and displaying the third BIM model in a second mode to generate a second BIM model display diagram.

Optionally, in a possible implementation manner of the first aspect, the inputting the cost analysis information input by the analysis end into the engineering data analysis model, where the engineering data analysis model determines a normal BIM sub-module, an abnormal BIM sub-module, a normal third BIM model, and an abnormal third BIM model, and displays the abnormal BIM sub-module and the abnormal third BIM model in a third mode to generate a third BIM model display diagram, includes:

the construction cost analysis information input by the analysis end is input into the engineering data analysis model, and the engineering data analysis model decomposes the construction cost analysis information to obtain construction cost sub-information corresponding to each BIM sub-module;

determining a project cost interval corresponding to each BIM submodule, and if the cost sub-information is judged to be located in the corresponding project cost interval, judging that the corresponding BIM submodule is a normal BIM submodule;

if the cost sub-information is judged not to be located in the corresponding project cost interval, the corresponding BIM sub-module is judged to be an abnormal BIM sub-module;

determining a classification set in which the abnormal BIM submodule is positioned as an abnormal classification set, and taking a third BIM model formed by the abnormal classification set as an abnormal third BIM model;

and displaying the abnormal third BIM model in a third mode to generate a third BIM model display diagram.

Optionally, in a possible implementation manner of the first aspect, the method further includes:

receiving feedback information of a user, wherein the BIM submodule with abnormal feedback information is real abnormal or the abnormal BIM submodule is not abnormal;

determining the project cost interval corresponding to the BIM submodule which is not abnormal and is screened to be abnormal,

if the construction cost sub-information is larger than the maximum value of the construction cost interval, increasing the weight value of the corresponding weight group according to the construction cost sub-information and the maximum value of the construction cost interval;

if the construction cost sub-information is smaller than the minimum value of the construction cost interval, reducing the weight value of the corresponding weight group according to the construction cost sub-information and the minimum value of the construction cost interval;

the increasing weight value after the increasing process and the decreasing weight value after the decreasing process are calculated by the following formulas,

wherein l _inc To increase the processed increased weight value, j ₁ Cost sub-information, g, for values greater than the maximum value of the project cost interval _r To increase the normalized value, x _inc To increase the coefficient value,/ _red To reduce the processed reduced weight value, j ₂ Cost sub-information, g, for minimum values less than the engineering cost interval _f To reduce the normalized value, x _red The coefficient value is decreased.

In a second aspect of the embodiments of the present invention, there is provided a project cost data analysis platform based on big data analysis and cloud computing, including:

the generating module is used for enabling the cloud server to receive BIM model building data sent by a building end, the BIM model building data comprise a plurality of BIM sub-modules, and a corresponding first BIM model is built and generated according to the BIM sub-modules;

the classification module is used for classifying all BIM sub-modules according to the one-dimensional label information of each BIM sub-module to obtain a plurality of classification sets, segmenting the first BIM model according to the BIM sub-modules included in each classification set to obtain a corresponding second BIM model, and displaying the second BIM model in a first mode to generate a first BIM model display diagram;

the extraction module is used for extracting the two-dimensional label information corresponding to each BIM submodule, and traversing in the engineering building database according to the two-dimensional label information to obtain the engineering cost sub-information corresponding to each two-dimensional label information;

the statistical module is used for selecting at least one BIM submodule in the BIM model display graph according to the selected information of the analysis end, determining a corresponding third BIM model according to the classification set where the BIM submodule is located, counting two-dimensional label information corresponding to the BIM submodule included in each third BIM model, training according to the two-dimensional label information and the corresponding engineering cost sub-information to obtain an engineering data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display graph;

and the determining module is used for inputting the cost analysis information input by the analysis end into the engineering data analysis model, the engineering data analysis model determines a normal BIM sub-module, an abnormal BIM sub-module, a normal third BIM model and an abnormal third BIM model, and the abnormal BIM sub-module and the abnormal third BIM model are displayed in a third mode to generate a third BIM model display diagram.

A third aspect of the embodiments of the present invention provides a storage medium, in which a computer program is stored, and the computer program is used for implementing the method according to the first aspect of the present invention and various possible designs of the first aspect when the computer program is executed by a processor.

Has the beneficial effects that:

1. the invention can automatically decompose the sub-modules of the larger BIM model according to the project progress and the demand according to the demand of the user, and can also combine different sub-modules in the BIM model according to the demand of the user to analyze the project cost in a large data combining mode. In-process, this scheme can utilize one-dimensional label information and two-dimensional label information to handle the BIM submodule piece, bind corresponding cost information, obtain dynamic engineering data analysis model, after data analysis model construction finishes, this scheme can be interacted with the user, carry out the analysis to the cost analysis information of analysis end input, show the exceptional situation outstandingly, through above-mentioned scheme for the administrator can be clear draw corresponding link, the problem at position, thereby timely formulation strategy.

2. After the three-dimensional model image is obtained, the edge line of the three-dimensional model image is analyzed, in the process, the data of the length of the non-contour edge line and the length of the contour edge line are compared to obtain the coefficient of the artificial cost dimension, and a user carries out cost analysis by subsequently referring to the coefficient of the artificial cost dimension.

3. When the construction cost information is analyzed, two dimensions of equipment cost and labor cost are analyzed, and meanwhile, the maximum value and the minimum value of the construction cost interval are subjected to offset training calculation by utilizing the weight group to obtain the construction cost interval which accords with an actual scene, so that the construction cost information can be more accurate in subsequent analysis; meanwhile, the scheme interacts with a user to perform reverse adjustment on the weight group by feedback information, and meanwhile, flexible adjustment can be performed according to different conditions in the adjustment process.

Drawings

Fig. 1 is a schematic flowchart of a method for analyzing engineering cost data based on big data analysis and cloud computing according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of an engineering cost data analysis platform based on big data analysis and cloud computing according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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.

The technical solution of the present invention will be described in detail below with specific examples. These several specific embodiments may be combined with each other below, and details of the same or similar concepts or processes may not be repeated in some embodiments.

Referring to fig. 1, which is a schematic flow diagram of a project cost data analysis method based on big data analysis and cloud computing according to an embodiment of the present invention, the project cost data analysis method based on big data analysis and cloud computing includes S1-S5, which specifically includes the following steps:

s1, the cloud server receives BIM model construction data sent by a construction end, the BIM model construction data comprise a plurality of BIM sub-modules, and a corresponding first BIM model is generated according to the BIM sub-modules.

The building end is used for inputting BIM model building data by workers, the building end sends the built BIM model building data to the cloud server, the cloud server can process the BIM model building data after receiving the BIM model building data, and BIM sub-modules in the BIM model building data are used for building and generating a corresponding first BIM.

It should be noted that the BIM model construction data of the present scheme includes a plurality of BIM sub-modules, taking a cell building as an example, the BIM model construction data may be a building of an entire cell, and the BIM sub-modules may be 1, 2, and 3; taking a cell building as an example, the BIM model building data can be 1 unit, and the BIM sub-modules can be 1 unit and 25 layers. The present solution only explains the BIM model building data and the BIM sub-module by the above example, and is not limited thereto.

In some embodiments, S1 (the cloud server receives BIM model building data sent by a building end, where the BIM model building data includes a plurality of BIM sub-modules, and a corresponding first BIM model is generated according to the BIM sub-module building) includes S11 to S12:

s11, the BIM model construction data comprise the position relations of all BIM sub-modules, and the BIM sub-modules are three-dimensional model images.

For example, the BIM model building data may be 1 unit, the BIM sub-modules may be three-dimensional model images corresponding to each floor in 1 unit, and the BIM model building data includes positional relationships of all the BIM sub-modules, for example, there are 25 total floors, and there are 25 corresponding BIM sub-modules, so that the BIM model building data includes positional relationships of 25 BIM sub-modules.

S12, assembling and constructing all three-dimensional model images according to the position relation of all BIM sub-modules to generate a first fused three-dimensional structure, and forming a first BIM model according to the first fused three-dimensional structure.

For example, 25 BIM sub-modules are assembled and constructed according to corresponding position relations to generate a first fused three-dimensional structure, and a first BIM model is constructed according to the first fused three-dimensional structure, wherein the first BIM model is, for example, a building of 1 building 1 unit of a corresponding cell.

S2, classifying all BIM sub-modules according to one-dimensional label information of each BIM sub-module to obtain a plurality of classification sets, segmenting the first BIM model according to the BIM sub-modules included in each classification set to obtain a corresponding second BIM model, and displaying the second BIM model in a first mode to generate a first BIM model display diagram.

Illustratively, the one-dimensional label information corresponding to 25 BIM sub-modules in the plurality of BIM sub-modules is 1 unit of a cell, and the scheme classifies the 25 BIM sub-modules into a classification set corresponding to 1 unit of the cell.

It should be noted that, in the present solution, the first BIM model (e.g. 1 building unit) is segmented by the BIM sub-modules (e.g. each floor) included in each classification set to obtain corresponding second BIM models (e.g. 25 second BIM models), and it can be understood that the second BIM model is a model obtained by segmenting the BIM sub-modules as segmentation units.

In some embodiments, S2 (classifying all the BIM sub-modules according to the one-dimensional label information of each BIM sub-module to obtain a plurality of classification sets, segmenting the first BIM model according to the BIM sub-modules included in each classification set to obtain a corresponding second BIM model, and displaying the second BIM model in the first mode to generate a first BIM model display diagram) includes S21-S24:

s21, receiving the segmentation dimension of the user, wherein the segmentation dimension corresponds to the segmentation level information in the one-dimensional label information.

The scheme can receive the segmentation dimension of the user, wherein the segmentation dimension corresponds to the segmentation level information in the one-dimensional label information.

And S22, extracting one-dimensional label information of each BIM submodule, wherein different one-dimensional label information corresponds to different building units, and classifying all BIM submodules according to the one-dimensional label information and the segmentation level information of each BIM submodule to obtain a plurality of classification sets.

It can be understood that each BIM sub-module has corresponding one-dimensional tag information, and different one-dimensional tag information corresponds to different building units, for example, the one-dimensional tag information is 1.1.1, which represents 1 unit 1 level, and then the corresponding building unit is 1 unit 1 level, and then the present solution classifies all the BIM sub-modules according to the one-dimensional tag information and the segmentation level information of each BIM sub-module, so as to obtain a plurality of classification sets.

In some embodiments, S22 (extracting one-dimensional tag information of each BIM sub-module, where different one-dimensional tag information corresponds to different building units, and classifying all the BIM sub-modules according to the one-dimensional tag information and the segmentation level information of each BIM sub-module to obtain a plurality of classification sets) includes S221-S224:

s221, obtaining the grade level of each one-dimensional label information, wherein the grade level is pre-configured for the construction end.

For example, the one-dimensional tag information is 1.1.1, which represents 1 unit 1 layer, and the corresponding level rank is each layer.

And S222, if the lowest level grade in the level grades is judged to be larger than the segmentation dimension, taking the lowest level grade of the corresponding one-dimensional label information as the segmentation level information of the corresponding BIM submodule.

It can be understood that, if the lowest one of the level levels is greater than the level of the segmentation dimension, which indicates that the segmentation dimension input by the user is greater than the lowest one of the level levels, in this case, the lowest level of the corresponding one-dimensional tag information is used as the segmentation level information of the corresponding BIM sub-module in the present solution. For example, for the whole greenfield of a cell, the level grade corresponds to the whole cell, and at this time, the level grade is greater than the grade of the segmentation dimension, and the lowest level grade of the corresponding one-dimensional label information is used as the segmentation level information of the corresponding BIM sub-module.

And S223, if the grade of the segmentation dimension is judged to be less than or equal to the grade of the segmentation dimension, taking the grade of the corresponding segmentation dimension as the segmentation grade information of the corresponding BIM submodule.

It can be understood that, if there is a level less than or equal to the segmentation dimension in the level levels, the present solution uses the level of the corresponding segmentation dimension as the segmentation level information of the corresponding BIM sub-module. The method determines a minimum segmentation level, and segments the corresponding BIM sub-module, for example, the level of the window is smaller than the level of the segmentation dimension, and the scheme uses the level of the window as the segmentation level information of the corresponding BIM sub-module.

And S224, classifying all BIM sub-modules according to the segmentation level information and the one-dimensional label information corresponding to each BIM sub-module, so that all BIM sub-modules with the same segmentation level information and the corresponding one-dimensional label information are in the same classification set.

After the segmentation level information corresponding to each BIM submodule is obtained, all BIM submodules are classified according to the segmentation level information and the one-dimensional label information corresponding to each BIM submodule, so that all BIM submodules with the same segmentation level information and the corresponding one-dimensional label information are in the same classification set. For example, 1.1.1.1 represents 1 unit 1 layer window, 1.1.1.2 represents 1 unit 1 layer door, and the present scheme would classify the corresponding window and door into 1 unit 1 layer to form a classification set corresponding to 1 layer, and it can be understood that the segmentation level information corresponding to each BIM sub-module in the classification set is the same.

And S23, selecting three-dimensional model images corresponding to all BIM sub-modules in the classification set, taking a fusion image formed by the three-dimensional model images selected by each classification set as a second fusion three-dimensional structure, and forming a second BIM according to the second fusion three-dimensional structure.

After the classification sets are obtained, the three-dimensional model images corresponding to all BIM sub-modules in the classification sets are selected, then the fusion image formed by the three-dimensional model images selected by each classification set is used as a second fusion three-dimensional structure, and a second BIM model is formed according to the second fusion three-dimensional structure.

For example, each classification set corresponds to one layer, and the present solution uses a fused image formed by three-dimensional model images of all BIM sub-modules (e.g., windows, doors, etc.) of each layer as a second fused three-dimensional structure, and forms a second BIM model according to the second fused three-dimensional structure, where the second BIM model is, for example, a building image corresponding to each layer.

And S24, determining the three-dimensional image edge of the second fused three-dimensional structure to obtain the outline of the second BIM model, and displaying the outline of the second BIM model in a first mode to generate a first BIM model display diagram.

According to the scheme, after the second fused three-dimensional structure is obtained, the three-dimensional image edge of the second fused three-dimensional structure is determined, then the image edge is used for obtaining the outline of the second BIM model, and the outline of the second BIM model is displayed in a first mode to generate a first BIM model display diagram. The first mode display may be, for example, a green color display.

In some embodiments, S24 (determining the three-dimensional image edge of the second fused three-dimensional structure, obtaining the outline of the second BIM model, and displaying the outline of the second BIM model in the first mode to generate the first BIM model display diagram) includes S241-S245:

and S241, acquiring the edge line of the three-dimensional model image corresponding to each BIM submodule in the second fusion three-dimensional structure.

Firstly, according to the scheme, edge line extraction is carried out on each BIM submodule in the second fusion three-dimensional structure, the edge line extraction method can be the prior art, and is not repeated here, and the scheme can determine the edge line of the three-dimensional model image corresponding to each BIM submodule in the second fusion three-dimensional structure.

And S242, if the edge line of any one three-dimensional model image is judged to be in contact with other three-dimensional model images in the same second fused three-dimensional structure, taking the corresponding edge line as a non-contour edge line.

It can be understood that if the edge line of any one three-dimensional model image is judged to be in contact with other three-dimensional model images in the same second fused three-dimensional structure, the corresponding edge line is taken as a non-contour edge line. The non-contour edge line refers to an edge line which is overlapped between two three-dimensional model images.

And S243, if the edge line of any one three-dimensional model image is judged not to be contacted with other three-dimensional model images in the same second fused three-dimensional structure, or the edge line of any one three-dimensional model image is judged to be contacted with other three-dimensional model images not in the same second fused three-dimensional structure, the corresponding edge line is taken as a contour edge line.

It can be understood that, if it is determined that the edge line of any one three-dimensional model image is not in contact with other three-dimensional model images in the same second fused three-dimensional structure, or the edge line of any one three-dimensional model image is in contact with other three-dimensional model images not in the same second fused three-dimensional structure, it is determined that the edge line is not adjacent to other three-dimensional model images, and at this time, the corresponding edge line is taken as the contour edge line in the present scheme.

And S244, displaying the contour edge lines of all the three-dimensional model images in a first mode to generate a first BIM model display diagram.

According to the scheme, after the contour edge lines of all the three-dimensional model images are determined, the contour edge lines of all the three-dimensional model images are displayed in a first mode to generate a first BIM display graph. The first mode display may be a green display.

S245, counting the lengths of all the non-contour edge lines to obtain a first contour length, counting the lengths of all the contour edge lines to obtain a second contour length, calculating according to the first contour length and the second contour length to obtain an edge contour line occupation ratio, and generating a position relation remark of each second fusion three-dimensional structure according to the edge contour line occupation ratio.

According to the scheme, after the non-contour edge lines and the contour edge lines are obtained through calculation, the lengths of all the non-contour edge lines are counted to obtain a first contour length, the lengths of all the contour edge lines are counted to obtain a second contour length, then the first contour length and the second contour length are calculated to obtain an edge contour line occupation ratio, and position relation remarks of each second fusion three-dimensional structure are generated according to the edge contour line occupation ratio. It can be understood that, the larger the second contour length of the contour edge line is, the larger the corresponding edge contour line occupation ratio is, and the larger the edge contour line occupation ratio is, the more irregular the corresponding building is, and the greater the labor construction cost is.

In some embodiments, S245 (counting lengths of all non-contour edge lines to obtain a first contour length, counting lengths of all contour edge lines to obtain a second contour length, calculating according to the first contour length and the second contour length to obtain an edge contour line proportion, and generating a position relation remark of each second fused three-dimensional structure according to the edge contour line proportion) includes S2451-S2455:

s2451, obtaining the sum of the lengths of the total contour according to the length of the first contour and the length of the second contour, comparing the sum of the lengths with a preset length to obtain a length deviation coefficient, and calculating according to the length deviation coefficient and a preset weight proportion to obtain a calculated weight proportion. It can be understood that the larger the sum of the lengths is, the longer the length of the edge of the whole is, which may cause the ratio of the edge contour lines to be reduced, therefore, the length deviation coefficient may be obtained by comparing the sum of the lengths with the preset length, and the more accurate calculation weight ratio may be obtained by increasing and adjusting the preset weight ratio by using the length deviation coefficient.

S2452, calculating according to the second contour length, the sum of the lengths and the calculation weight proportion to obtain an edge contour line proportion, calculating the edge contour line proportion through the following formula,

/>

wherein b is the ratio of the edge contour lines, l ₁ Is a first profile length, l ₂ Is the second contour length, k is the predetermined weight ratio, l _per To a predetermined length, g _l Is a length normalized coefficient value.

In the above-mentioned formula,

representing the length shift factor, it will be appreciated that the second profile length l ₂ The larger the length shift coefficient, the larger the edge contour occupation. l ₁ +l ₂ -l _per Represents the difference between the sum of the lengths and the preset length, the greater the difference, the more the adjustment amplitude of the corresponding preset weight ratio needs to be, and the greater the adjustment amplitude of the corresponding preset weight ratio needs to be>

Represents the calculation of the weight proportion, and the more the adjustment amplitude is, the larger the calculation of the weight proportion is.

S2453, if the edge contour line occupation ratio is less than or equal to a first preset occupation ratio, determining a corresponding first artificial cost coefficient.

After the edge contour line occupation ratio is obtained, the edge contour line occupation ratio is compared with a first preset occupation ratio, if the edge contour line occupation ratio is smaller than or equal to the first preset occupation ratio, the edge contour line occupation ratio is smaller, the corresponding building is more regular, the manual construction cost is smaller, and at the moment, the corresponding first manual construction cost coefficient can be determined.

S2454, if the edge contour line occupation ratio is greater than a first preset occupation ratio and less than or equal to a second preset occupation ratio, determining a corresponding second artificial cost coefficient.

If the edge contour line proportion is larger than the first preset proportion value and smaller than or equal to the second preset proportion value, the edge contour line proportion is in a medium state, the corresponding building is more irregular, the manual construction cost is high, and at the moment, the corresponding second manual construction cost coefficient can be determined. It should be noted that the second preset ratio is greater than the first preset ratio.

S2455, if the edge contour line proportion is larger than a second preset proportion value, determining a corresponding third artificial cost coefficient.

If the edge contour line proportion is larger than the second preset proportion value, the edge contour line proportion is larger, the corresponding building is irregular, the manual construction cost is higher, and at the moment, the corresponding third manual construction cost coefficient can be determined. The third artificial cost coefficient is larger than the second artificial cost coefficient, and the second artificial cost coefficient is larger than the first artificial cost coefficient to reflect the artificial cost.

And S3, extracting the two-dimensional label information corresponding to each BIM submodule, and traversing in the engineering building database according to the two-dimensional label information to obtain the engineering cost sub-information corresponding to each two-dimensional label information.

In the database of the scheme, the corresponding relation between the two-dimensional tag information and the project cost sub-information is stored in advance, wherein the two-dimensional tag information represents what the BIM sub-module specifically is, for example, the two-dimensional tag information 1.1 may represent a window in a first layer, and the two-dimensional tag information 1.2 may represent a door in the first layer. The project cost sub-information of the corresponding BIM sub-module can be determined through the two-dimensional label information.

S4, selecting at least one BIM submodule in a BIM model display diagram according to the selected information of the analysis end, determining a corresponding third BIM model according to a classification set where the BIM submodule is located, counting two-dimensional label information corresponding to the BIM submodule included in each third BIM model, training according to the two-dimensional label information and the corresponding engineering cost information to obtain a dynamic engineering data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display diagram.

It can be understood that the analysis end of the scheme can display the BIM model display diagram in real time, a user can select the BIM model display diagram based on the analysis time, meanwhile, the scheme can calibrate the BIM submodule selected by the user, then determine the classification set where the BIM submodule is located, and finally determine the third BIM model of the classification set where the BIM submodule is located.

After the third BIM model is determined, the scheme can count the two-dimensional label information corresponding to the BIM sub-modules included in each third BIM model, then train by using the two-dimensional label information and the corresponding project cost sub-information to obtain a dynamic project data analysis model, and display the third BIM model in a second mode to generate a second BIM model display diagram. The second mode display may be, for example, yellow.

It should be noted that, according to the scheme, the corresponding BIM model can be displayed in the second mode in a highlighted manner according to the selected information of the user, so that the user can further analyze the corresponding model in the following process.

In some embodiments, S4 (selecting at least one BIM sub-module in a BIM model display diagram according to the selected information of the analysis end, determining a corresponding third BIM model according to the classification set where the BIM sub-module is located, counting two-dimensional label information corresponding to the BIM sub-module included in each third BIM model, performing training according to the two-dimensional label information and the corresponding engineering cost sub-information to obtain a dynamic engineering data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display diagram) includes S41-S43:

s41, determining two-dimensional label information corresponding to BIM sub-modules included in each third BIM model, obtaining a project cost interval corresponding to each two-dimensional label information according to each two-dimensional label information and the corresponding project cost sub-information, and calculating an interval value of each project cost interval.

For example, according to the scheme, the door in the third BIM can be determined according to the two-dimensional tag information, then the sub-information of the construction cost corresponding to the door is determined, the construction cost interval corresponding to each two-dimensional tag information is obtained, and the interval value of each construction cost interval is calculated. It will be appreciated that for an item, which generally has a minimum price and a maximum price, there will be a corresponding engineering cost interval, the minimum value of which may be the corresponding minimum price and the maximum value of which may be the corresponding maximum price.

After the project cost interval is obtained, the interval value of each project cost interval can be calculated according to the project cost interval. Wherein, the interval value is the highest value minus the lowest value of the engineering cost interval.

And S42, calling a type weight corresponding table which is correspondingly set in advance, wherein a preset weight group corresponding to the type of the two-dimensional label information is arranged in the type weight corresponding table, and the weight group comprises an increasing weight value and a decreasing weight value.

The scheme is provided with a category weight corresponding table, wherein the category weight corresponding table is provided with an increasing weight value and a reducing weight value which are correspondingly set in advance and correspond to categories with two-dimensional label information, the increasing weight value is used for increasing and adjusting corresponding numerical values, and the reducing weight value is used for reducing and adjusting corresponding numerical values.

S43, performing offset training calculation on the maximum value and the minimum value of the engineering cost interval according to the weight set and the interval value of the type of the two-dimensional label information to obtain the engineering cost interval after the offset training calculation, wherein the engineering cost interval comprises an equipment engineering cost interval and an artificial engineering cost interval.

The project cost interval is divided into two types by the scheme, one type is the project cost interval of the equipment, and the other type is the artificial project cost interval.

It can be understood that, in the scheme, before calculation, the type of the two-dimensional label information is determined, and then the deviation training calculation is performed on the maximum value and the minimum value of the engineering cost interval by using the weight set and the interval value of the type of the two-dimensional label information to obtain the engineering cost interval after the deviation training calculation.

Calculating by the following formula to obtain the maximum value and the minimum value of the engineering cost interval of the equipment cost after the offset training calculation,

wherein the content of the first and second substances,

is offset byTraining the maximum value of the calculated construction cost interval of the apparatus, based on the maximum value of the calculated construction cost interval of the apparatus>

For shifting the maximum value of the project cost interval of the equipment before training calculation, a is an increasing constant value, k _inc To increase the weight value>

For the minimum value of the project cost interval before the offset training calculation, a is a decreasing constant value, and->

Minimum value, k, of engineering cost interval calculated for offset training _red To reduce the weight value.

In the above-mentioned formula,

representing the magnitude of the increase in the offset training calculation, wherein,

representing an interval value, wherein the larger the interval value is, the larger the amplitude to be adjusted is, and finally, comprehensively calculating to obtain the maximum value of the engineering cost interval of the equipment after the offset training calculation; />

Represents the amplitude decreased in an offset training calculation, wherein>

And representing an interval value, wherein the larger the interval value is, the larger the amplitude required to be adjusted is, and finally, comprehensively calculating to obtain the minimum value of the engineering cost interval after the deviation training calculation. Wherein the weight value k is increased _inc And reducing the weight value k _red May be preset by the operator.

Calculating the construction cost interval of the labor cost by the following formula, calculating by the following formula to obtain the maximum value and the minimum value of the construction cost interval of the labor cost after the offset training calculation,

wherein, the first and the second end of the pipe are connected with each other,

maximum value of the project cost interval for the calculated labor cost of the migration training->

Maximum value of project cost interval, g, for labor cost before offset training calculation _n Is a manual cost factor and is used for selecting the desired value>

Minimum value of the project cost interval for the calculated labor cost for the deflection training->

And u is the preset labor constant value cost, and is the minimum value of the project cost interval of the labor cost before the offset training calculation.

In the above-mentioned formula,

represents the amplitude that needs to be adjusted>

Representing the interval value, wherein the larger the interval value is, the larger the amplitude to be adjusted is, and finally, comprehensively calculating to obtain the maximum value of the artificial engineering cost interval after the deviation training calculation, wherein under different scenes, the artificial cost coefficient g _n The values of (1) are different, so that the calculated result is more suitable for the scene requirement; it should be noted that the minimum value of the project cost interval of the labor cost after the offset training calculation is calculated in the scheme is determined as ^ 5>

And in time, the cost u is directly combined with the preset manual fixed value to calculate, so that the cost is not too small.

And S44, generating an engineering data analysis model according to the engineering cost interval after the offset training calculation, and displaying the third BIM model in a second mode to generate a second BIM model display diagram.

According to the scheme, after the engineering cost interval after the offset training calculation is obtained in the mode, the engineering data analysis model can be generated according to the engineering cost interval after the offset training calculation, and then the third BIM model is displayed in the second mode to generate the second BIM model display diagram.

And S5, inputting the construction cost analysis information input by the analysis end into the engineering data analysis model, determining a normal BIM submodule, an abnormal BIM submodule, a normal third BIM model and an abnormal third BIM model by the engineering data analysis model, and displaying the abnormal BIM submodule and the abnormal third BIM model in a third mode to generate a third BIM model display diagram.

According to the scheme, a user can input corresponding construction cost analysis information into the engineering data analysis model through the analysis end, the construction cost information is judged by using the engineering data analysis model, the normal BIM submodule, the abnormal BIM submodule, the normal third BIM model and the abnormal third BIM model are determined, and finally the abnormal BIM submodule and the abnormal third BIM model are displayed in a third mode to generate a third BIM model display diagram.

In some embodiments, S5 (inputting the cost analysis information input by the analysis end into the engineering data analysis model, the engineering data analysis model determining the normal BIM sub-module, the abnormal BIM sub-module, the normal third BIM model, and the abnormal third BIM model, and displaying the abnormal BIM sub-module and the abnormal third BIM model in a third mode to generate a third BIM model display diagram) includes S51-S55:

and S51, inputting the construction cost analysis information input by the analysis end into the engineering data analysis model, and decomposing the construction cost analysis information by the engineering data analysis model to obtain the construction cost sub-information corresponding to each BIM sub-module.

Firstly, the construction cost analysis information input by the analysis end is input into the engineering data analysis model, and the engineering data analysis model decomposes the construction cost analysis information after receiving the construction cost analysis information to obtain construction cost sub-information corresponding to each BIM sub-module. When the decomposition is carried out, the decomposition can be carried out according to the labels of the corresponding BIM submodules, and the cost sub-information corresponding to each BIM submodule is obtained.

And S52, determining a project cost interval corresponding to each BIM submodule, and if the cost sub-information is judged to be located in the corresponding project cost interval, judging that the corresponding BIM submodule is a normal BIM submodule.

After the cost sub-information corresponding to each BIM sub-module is obtained, the project cost interval corresponding to each BIM sub-module is determined, if the cost sub-information is judged to be located in the corresponding project cost interval, the fact that the cost is normal is indicated, and at the moment, the project judges that the corresponding BIM sub-module is the normal BIM sub-module.

And S53, if the cost sub-information is judged not to be located in the corresponding project cost interval, judging that the corresponding BIM sub-module is an abnormal BIM sub-module.

If the cost sub-information is judged not to be in the corresponding project cost interval, the corresponding cost is abnormal, and at the moment, the scheme judges that the corresponding BIM sub-module is the abnormal BIM sub-module.

And S54, determining a classification set in which the abnormal BIM submodule is positioned as an abnormal classification set, and taking a third BIM model formed by the abnormal classification set as an abnormal third BIM model.

After the abnormal BIM submodule is determined, the scheme determines the classification set in which the abnormal BIM submodule is positioned, then marks the classification set as the abnormal classification set, and finally takes a third BIM model formed by the abnormal classification set as an abnormal third BIM model.

And S55, displaying the abnormal third BIM model in a third mode to generate a third BIM model display diagram.

After obtaining the abnormal third BIM model, the present solution performs a third mode display on the abnormal third BIM model, where the third mode display is different from the first mode display and the second mode display, and may be, for example, a blue mode display. At this time, the present solution obtains a third BIM model display diagram.

On the basis of the above embodiment, the method further comprises S56-S59:

s56, receiving feedback information of a user, wherein if the BIM sub-module with the feedback information of abnormality is real abnormality or the BIM sub-module with the feedback information of abnormality is not abnormal, determining the project cost interval corresponding to the BIM sub-module which is not abnormal and is screened as abnormal;

it can be understood that, after the third BIM model display diagram is displayed to the user, if the user finds that there is an error, the abnormal BIM sub-module may be input as the real abnormal BIM sub-module or the abnormal BIM sub-module is the non-abnormal feedback information, and the feedback information of the user may be received and processed by the scheme.

And S57, if the construction cost sub-information is larger than the maximum value of the construction cost interval, increasing the increased weight value of the corresponding weight group according to the construction cost sub-information and the maximum value of the construction cost interval.

After the project cost interval corresponding to the BIM submodule which is not abnormal and is screened to be abnormal is determined, if the cost sub information is larger than the maximum value of the project cost interval, the maximum value of the project cost interval calculated by the scheme is smaller, and at the moment, the scheme can increase the weight value of the corresponding weight group according to the cost sub information and the maximum value of the project cost interval.

And S58, if the construction cost sub-information is smaller than the minimum value of the construction cost interval, reducing the weight value of the corresponding weight group according to the construction cost sub-information and the minimum value of the construction cost interval.

If the cost sub information is smaller than the minimum value of the project cost interval, the minimum value of the project cost interval calculated by the scheme is larger, and at the moment, the scheme can reduce the weight value of the corresponding weight group according to the cost sub information and the minimum value of the project cost interval.

wherein l _inc To increase the processed increased weight value, j ₁ Cost sub-information, g, being greater than the maximum value of the project cost interval _r To increase the normalized value, x _inc To increase the coefficient value,/ _red To reduce the processed reduced weight value, j ₂ Cost sub-information, g, for minimum values less than the engineering cost interval _f To reduce the normalized value, x _red The coefficient value is decreased.

In the above-mentioned formula,

represents that it needs to be increased by a greater or lesser magnitude>

Representing the difference between the sub-information of the construction cost and the maximum value of the construction cost interval, wherein the larger the difference is, the more the amplitude needs to be adjusted is, and finally, the increased weight value l after the increase processing is obtained _inc The maximum value of the construction cost interval calculated next time is increased. />

Represents the amplitude that needs to be turned down, is adjusted down>

Representing the difference value between the minimum value of the project cost interval and the cost sub-information, the larger the difference value is, the more the amplitude needs to be adjusted is, and finally the reduced weight value l after reduction processing is obtained _red And the minimum value of the project cost interval calculated next time is reduced.

Referring to fig. 2, which is a schematic structural diagram of an engineering cost data analysis platform based on big data analysis and cloud computing according to an embodiment of the present invention, the engineering cost data analysis platform based on big data analysis and cloud computing includes:

the statistical module is used for selecting at least one BIM submodule in a BIM model display diagram according to the selected information of an analysis end, determining a corresponding third BIM model according to a classification set where the BIM submodule is located, performing statistics on two-dimensional label information corresponding to the BIM submodule included in each third BIM model, training according to the two-dimensional label information and the corresponding engineering cost information to obtain a dynamic engineering data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display diagram;

The present invention also provides a storage medium, in which a computer program is stored, and the computer program is used for realizing the methods provided by the various embodiments described above when being executed by a processor.

The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, and the like.

The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.

In the above embodiments of the terminal or the server, it should be understood that the processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and these modifications or substitutions do not depart from the spirit of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. The engineering cost data analysis method based on big data analysis and cloud computing comprises the following steps:

the method comprises the following steps that S1, a cloud server receives BIM model construction data sent by a construction end, the BIM model construction data comprise a plurality of BIM sub-modules, and a corresponding first BIM model is constructed and generated according to the BIM sub-modules;

s2, classifying all BIM sub-modules according to one-dimensional label information of each BIM sub-module to obtain a plurality of classification sets, segmenting a first BIM model according to the BIM sub-modules included in each classification set to obtain a corresponding second BIM model, and displaying the second BIM model in a first mode to generate a first BIM model display diagram;

s3, extracting two-dimensional label information corresponding to each BIM submodule, and traversing in an engineering building database according to the two-dimensional label information to obtain the engineering cost sub-information corresponding to each two-dimensional label information;

s4, selecting at least one BIM submodule in a BIM model display diagram according to the selected information of an analysis end, determining a corresponding third BIM model according to a classification set where the BIM submodule is located, counting two-dimensional label information corresponding to the BIM submodule included in each third BIM model, training according to the two-dimensional label information and the corresponding engineering cost information to obtain a dynamic engineering data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display diagram;

s5, inputting cost analysis information input by an analysis end into an engineering data analysis model, determining a normal BIM sub-module, an abnormal BIM sub-module, a normal third BIM model and an abnormal third BIM model by the engineering data analysis model, and displaying the abnormal BIM sub-module and the abnormal third BIM model in a third mode to generate a third BIM model display drawing;

the cloud server receives BIM model construction data sent by a construction end, the BIM model construction data comprise a plurality of BIM sub-modules, and the step of generating a corresponding first BIM model according to the BIM sub-modules comprises the following steps:

assembling and constructing all three-dimensional model images according to the position relation of all BIM sub-modules to generate a first fused three-dimensional structure, and forming a first BIM according to the first fused three-dimensional structure;

classifying all BIM sub-modules according to the one-dimensional label information of each BIM sub-module to obtain a plurality of classification sets, segmenting a first BIM model according to the BIM sub-modules included in each classification set to obtain a corresponding second BIM model, and displaying the second BIM model in a first mode to generate a first BIM model display diagram, which comprises the following steps:

receiving segmentation dimensions input by a user, wherein the segmentation dimensions correspond to segmentation level information in one-dimensional label information;

extracting one-dimensional label information of each BIM submodule, wherein different one-dimensional label information corresponds to different building units, and classifying all BIM submodules according to the one-dimensional label information and segmentation level information of each BIM submodule to obtain a plurality of classification sets;

determining the three-dimensional image edge of the second fusion three-dimensional structure to obtain the outline of the second BIM model, and displaying the outline of the second BIM model in a first mode to generate a first BIM model display diagram;

the cost analysis information input by the analysis end is input into the engineering data analysis model, the engineering data analysis model determines a normal BIM submodule, an abnormal BIM submodule, a normal third BIM model and an abnormal third BIM model, and the abnormal BIM submodule and the abnormal third BIM model are displayed in a third mode to generate a third BIM model display diagram, which comprises the following steps:

2. The big data analysis and cloud computing based project cost data analysis method according to claim 1,

the determining of the three-dimensional image edge of the second fused three-dimensional structure to obtain the outline of the second BIM model, and displaying the outline of the second BIM model in a first mode to generate a first BIM model display diagram includes:

and counting the lengths of all the non-contour edge lines to obtain a first contour length, counting the lengths of all the contour edge lines to obtain a second contour length, calculating according to the first contour length and the second contour length to obtain an edge contour line occupation ratio, and generating a position relation remark of each second fusion three-dimensional structure according to the edge contour line occupation ratio.

3. The big data analysis and cloud computing based project cost data analysis method according to claim 2,

the method comprises the following steps of counting the lengths of all non-contour edge lines to obtain a first contour length, counting the lengths of all contour edge lines to obtain a second contour length, calculating according to the first contour length and the second contour length to obtain an edge contour line occupation ratio, and generating a position relation remark of each second fusion three-dimensional structure according to the edge contour line occupation ratio, wherein the method comprises the following steps:

wherein b is the ratio of the edge contour lines, l ₁ Is a first profile length, l ₂ Is the second contour length, k is the calculated weight ratio, l _per To a predetermined length, g _l Normalizing the coefficient values for length;

if the edge contour line occupation ratio is less than or equal to a first preset occupation ratio, determining a corresponding first artificial cost coefficient;

if the edge contour line occupation ratio is larger than a first preset occupation ratio and smaller than or equal to a second preset occupation ratio, determining a corresponding second artificial cost coefficient;

and if the edge contour line proportion is larger than a second preset proportion value, determining a corresponding third artificial cost coefficient.

4. The big data analysis and cloud computing based project cost data analysis method according to claim 2,

the method comprises the steps of selecting at least one BIM submodule in a BIM model display diagram according to selected information of an analysis end, determining a corresponding third BIM model according to a classification set where the BIM submodule is located, counting two-dimensional label information corresponding to the BIM submodule included in each third BIM model, training according to the two-dimensional label information and the corresponding project cost sub-information to obtain a dynamic project data analysis model, and displaying the third BIM model in a second mode to generate a second BIM model display diagram, wherein the steps comprise:

calling a category weight corresponding table which is correspondingly set in advance, wherein the category weight corresponding table is provided with a preset weight group corresponding to the category of the two-dimensional label information, and the weight group comprises an increasing weight value and a decreasing weight value;

performing offset training calculation on the maximum value and the minimum value of the engineering cost interval according to the weight group and the interval value of the type of the two-dimensional label information to obtain the engineering cost interval after the offset training calculation, wherein the engineering cost interval comprises an equipment engineering cost interval and an artificial engineering cost interval;

wherein the content of the first and second substances,

for the maximum value of the project cost range of the device calculated for the deflection training, then->

For the maximum value of the project cost interval of the equipment before the deviation training calculation, a is an increasing constant value, k _inc To increase the weight value>

For offsetting the minimum value of the construction cost interval of the plant before the training calculation, a is a decreasing constant value, and>

minimum value, k, of engineering cost interval of equipment calculated for offset training _red To reduce the weight value;

calculating by the following formula to obtain the maximum value and the minimum value of the engineering cost interval of the labor cost after the offset training calculation,

wherein the content of the first and second substances,

a maximum value of a project cost interval for offsetting the calculated labor cost of the training>

The minimum value of the project cost interval of the labor cost before the offset training calculation is obtained, and u is the preset labor fixed value cost;

5. The big data analysis and cloud computing based project cost data analysis method according to claim 1, further comprising:

determining the project cost interval corresponding to the BIM submodule which has no abnormal feedback but is screened as abnormal,

wherein the content of the first and second substances,

For the minimum value of the engineering cost interval of the equipment after the offset training calculation, l _inc To increase the processed increased weight value, j ₁ Cost sub-information, g, being greater than the maximum value of the project cost interval _r To increase the normalized value, x _inc To increase the coefficient value,/ _red To reduce the processed reduced weight value, j ₂ Cost sub-information, g, being less than the minimum value of the project cost interval _f To reduce the normalized value, x _red The coefficient value is decreased.

6. Engineering cost data analysis platform based on big data analysis and cloud calculation includes:

the determining module is used for inputting the cost analysis information input by the analysis end into the engineering data analysis model, the engineering data analysis model determines a normal BIM sub-module, an abnormal BIM sub-module, a normal third BIM model and an abnormal third BIM model, and the abnormal BIM sub-module and the abnormal third BIM model are displayed in a third mode to generate a third BIM model display drawing;

the method comprises the following steps that a cloud server receives BIM model construction data sent by a construction end, the BIM model construction data comprise a plurality of BIM sub-modules, and a first corresponding BIM model is generated according to the BIM sub-modules, wherein the BIM model construction data comprise:

assembling and constructing all three-dimensional model images according to the position relation of all BIM sub-modules to generate a first fused three-dimensional structure, and forming a first BIM model according to the first fused three-dimensional structure;

classifying all BIM sub-modules according to one-dimensional label information of each BIM sub-module to obtain a plurality of classification sets, segmenting a first BIM model according to the BIM sub-modules included in each classification set to obtain a corresponding second BIM model, and displaying the second BIM model in a first mode to generate a first BIM model display diagram, which comprises the following steps:

selecting three-dimensional model images corresponding to all BIM sub-modules in the classification sets, taking a fusion image formed by the three-dimensional model images selected by each classification set as a second fusion three-dimensional structure, and forming a second BIM according to the second fusion three-dimensional structure;