CN114580974A - BIM project cost control method and system based on computer aided design - Google Patents

BIM project cost control method and system based on computer aided design Download PDF

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CN114580974A
CN114580974A CN202210459674.2A CN202210459674A CN114580974A CN 114580974 A CN114580974 A CN 114580974A CN 202210459674 A CN202210459674 A CN 202210459674A CN 114580974 A CN114580974 A CN 114580974A
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朱鑫鑫
黄晓蕾
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Jiangsu Nantong Guanqian New Material Technology Co ltd
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Abstract

The invention relates to the technical field of computer aided design, in particular to a BIM engineering cost control method and system based on computer aided design. The method obtains the predicted construction data of each construction task and the actual construction data of the actual construction process through a computer aided design (BIM) model. And obtaining the construction pressure index of each construction task according to the actual processing time and the predicted processing time of the construction task. And obtaining the construction cost reliability of each construction process through the difference between the predicted construction cost weight vector and the actual construction cost weight vector. And obtaining the relative busy degree of the construction tasks in the construction process according to the construction pressure index, and further obtaining the first adjustment feasibility of each construction process. And judging whether personnel regulation and control are needed to be carried out on the construction process according to the first regulation feasibility, and judging regulation and control rationality according to a regulated and controlled second regulation feasible system. The invention provides a scientific and effective engineering cost control method in consideration of the construction data of computer aided design in the actual construction process of building design.

Description

BIM project cost control method and system based on computer aided design
Technical Field
The invention relates to the technical field of engineering cost control, in particular to a BIM engineering cost control method and system based on computer aided design.
Background
When building design is carried out, accurate cost analysis needs to be carried out on engineering projects, so that the construction projects can be completed scientifically and efficiently. However, in the engineering cost analysis process, the data to be analyzed is numerous, and joint analysis of various data by means of computer aided design is often required in the cost analysis.
The BIM model is a building information model, and provides a complete building engineering information base consistent with the actual condition for the model by establishing a virtual building engineering three-dimensional model and utilizing a digital technology. In the construction cost analysis process, the BIM model can simultaneously contain predicted construction information and construction information in the actual construction process and is visual, so that the construction cost analysis process is facilitated.
However, in the analysis process, because the influence factors of the actual construction process are complex, the actual construction information can be changed, so that the construction cost analysis can be directly carried out according to the construction information and the predicted construction information in the actual construction process in the BIM model, a large error can be caused, and the actual construction process can not be adjusted according to the error.
Disclosure of Invention
In order to solve the above technical problems, the present invention aims to provide a BIM project cost control method and system based on computer aided design, and the adopted technical scheme is as follows:
the invention provides a BIM project cost control method based on computer aided design, which comprises the following steps:
obtaining the predicted processing time and predicted construction cost information of each construction task according to the BIM; obtaining the construction pressure index of each construction task according to the actual processing time and the predicted processing time in the actual project;
obtaining the estimated construction cost weight of each construction task according to the estimated construction cost information; the predicted construction cost weight of the construction task in each construction flow forms a predicted construction cost weight vector; obtaining an actual cost weight vector of each construction process according to the actual cost weight of each construction task; obtaining the cost reliability of each construction flow according to the difference between the estimated cost weight vector and the actual cost weight vector;
obtaining the relative busyness degree of each construction task according to the difference of the construction pressure indexes among the construction tasks in each construction process; obtaining a first adjustment feasibility of the construction flow according to the relative busyness degree and the construction cost reliability in each construction flow;
if the first adjustment feasibility is larger than a preset feasibility threshold value, carrying out personnel regulation and control on the construction tasks in the construction flow according to the relative busy degree; obtaining a second adjustment feasibility after adjustment and control, and obtaining adjustment and control rationality according to the difference between the second adjustment feasibility and the first adjustment feasibility; if the regulation and control rationality is larger than a preset rationality threshold value, continuing construction according to the construction data after current regulation and control; otherwise, the personnel regulation is carried out again until the regulation rationality is larger than the rationality threshold value.
Further, the obtaining of the construction pressure index of each construction task according to the actual processing time and the estimated processing time in the actual project includes:
obtaining the construction pressure index according to a construction pressure index formula; the construction pressure index formula comprises:
Figure 716213DEST_PATH_IMAGE002
wherein,
Figure 100002_DEST_PATH_IMAGE003
the index of the construction pressure is the index of the construction pressure,
Figure 898933DEST_PATH_IMAGE004
for the task amount of the construction task,
Figure 100002_DEST_PATH_IMAGE005
in order to be the actual processing time,
Figure 944249DEST_PATH_IMAGE006
for the purpose of the estimated processing time or times,
Figure 100002_DEST_PATH_IMAGE007
is a first correction coefficient.
Further, the obtaining of the estimated construction cost weight for each of the construction tasks according to the estimated construction cost information includes:
accumulating the estimated cost information to obtain total cost information; and taking the ratio of the predicted cost information to the total cost information as the predicted cost weight.
Further, the obtaining of the cost reliability of each construction process according to the difference between the predicted cost weight vector and the actual cost weight vector includes:
obtaining the cost reliability according to the cost reliability formula; the cost reliability formula comprises:
Figure 100002_DEST_PATH_IMAGE009
wherein,
Figure 870617DEST_PATH_IMAGE010
is as follows
Figure 100002_DEST_PATH_IMAGE011
The construction cost of each construction process is reliable,
Figure 950569DEST_PATH_IMAGE012
a function is calculated for the cosine similarity measure,
Figure 100002_DEST_PATH_IMAGE013
is as follows
Figure 38610DEST_PATH_IMAGE011
Said actual cost weight vector for each said construction process,
Figure 571223DEST_PATH_IMAGE014
is as follows
Figure 770123DEST_PATH_IMAGE011
Said projected cost weight vector for each said construction process,
Figure 100002_DEST_PATH_IMAGE015
as a function of absolute value.
Further, the obtaining the relative busyness degree of each construction task according to the difference of the construction pressure indexes between the construction tasks in each construction process comprises:
obtaining the relative busyness degree according to a relative busyness degree formula; the relative busyness formula includes:
Figure 100002_DEST_PATH_IMAGE017
wherein,
Figure 471625DEST_PATH_IMAGE018
to the extent that construction task a is relatively busy,
Figure 100002_DEST_PATH_IMAGE019
for the number of said construction tasks within said construction process,
Figure 730568DEST_PATH_IMAGE020
for the construction pressure indicator of construction task a,
Figure 100002_DEST_PATH_IMAGE021
is the first in the construction process
Figure 750477DEST_PATH_IMAGE011
The construction pressure index of the construction task.
Further, the obtaining a first adjustment feasibility of the construction process according to the relative busyness degree and the construction cost reliability in each construction process includes:
obtaining the first adjustment feasibility and the second adjustment feasibility according to an adjustment feasibility formula; the adjustment feasibility formula comprises:
Figure 100002_DEST_PATH_IMAGE023
wherein,
Figure 753068DEST_PATH_IMAGE024
in order to make the first adjustment possible,
Figure 100002_DEST_PATH_IMAGE025
a function is calculated for the mean square error,
Figure 542032DEST_PATH_IMAGE026
for the set of relatively busy levels within the construction flow,
Figure 100002_DEST_PATH_IMAGE027
and the construction cost reliability corresponding to the construction process is obtained.
Further, the step of regulating and controlling the construction task in the construction flow according to the relative busy degree comprises the following steps:
grouping the construction tasks in the construction flow according to the relative busy degree to obtain the busy level of each group in the construction flow; the busy level comprises three levels of a particularly busy level, a moderate busy level and an idle level;
if the busy level in the construction flow comprises the particularly busy level and the idle level at the same time, working staff of the construction tasks corresponding to the two levels are cooperated to work;
if the busy level in the construction flow only comprises the particularly busy level, prolonging the predicted processing time corresponding to the construction task;
if the busy level in the construction flow only comprises the idle level, the estimated processing time corresponding to the construction task is shortened.
Further, the grouping the construction tasks in the construction process according to the relative busy degree comprises:
and grouping the construction tasks in the construction flow by utilizing a k-means clustering algorithm according to the relative busyness degree.
Further, the obtaining regulatory rationality based on the difference between the second regulatory feasibility and the first regulatory feasibility comprises:
obtaining the regulation rationality according to a regulation rationality formula; the regulation rationality formula comprises:
Figure 100002_DEST_PATH_IMAGE029
wherein,
Figure 503035DEST_PATH_IMAGE030
in order to make the regulation reasonable,
Figure 744660DEST_PATH_IMAGE024
in order to make the first adjustment possible,
Figure 100002_DEST_PATH_IMAGE031
the second adjustment feasibility.
The invention also provides a BIM-based project cost control system, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes any step of the BIM project cost control method based on computer-aided design when executing the computer program.
The invention has the following beneficial effects:
according to the embodiment of the invention, the relative busy degree of each construction task is obtained according to the difference of the construction pressure indexes among the construction tasks through computer aided design, and the current construction state of each construction task is effectively shown through comparison among the construction tasks in the same construction process, so that the follow-up construction control is facilitated. And analyzing the first adjustment feasibility of each construction flow through the relative busy degree and the construction cost reliability, wherein the first adjustment feasibility can be used for representing the rationality of the current construction flow, and if the arrangement of the construction flow is unreasonable, the resource control needs to be carried out on the construction flow. And scientific and effective regulation and control means can be carried out by taking the relative busy degree as a reference, so that the construction engineering can achieve the expected effect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a BIM engineering cost control method based on computer-aided design according to an embodiment of the present invention.
Detailed Description
In order to further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description will be given to the specific implementation, structure, features and effects of the BIM engineering cost control method and system based on computer aided design according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The concrete scheme of the BIM project cost control method and system based on computer aided design provided by the invention is concretely described below with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of a computer aided design-based BIM engineering cost control method according to an embodiment of the present invention is shown, where the method includes:
step S1: obtaining the predicted processing time and predicted construction cost information of each construction task according to the BIM; and obtaining the construction pressure index of each construction task according to the actual processing time and the predicted processing time in the actual project.
The BIM model is a visual building information model and not only can contain construction information and cost information predicted by a project, but also can contain actual construction information and actual cost information fed back in an actual construction process. Therefore, various construction data can be analyzed on the basis of the BIM model, and a scientific and efficient cost analysis process is realized.
It should be noted that the BIM model may be established according to a construction drawing, and a specific establishment process is a technical means well known to those skilled in the art and is not described herein.
The construction cost information includes construction cost information of construction materials and processing time required for construction. Wherein the processing time can intuitively represent the working pressure of the current construction task. For example, if the actual processing time in the actual work is shorter than the predicted processing time in the predicted work, the working pressure corresponding to the construction task becomes large in order to achieve the desired effect. The construction pressure index of each construction task can be obtained according to the actual processing time of each construction task in the actual engineering and the predicted processing time of each construction task in the BIM model, and the method specifically comprises the following steps:
and obtaining the construction pressure index according to a construction pressure index formula. The construction pressure index formula comprises:
Figure 285363DEST_PATH_IMAGE002
wherein,
Figure 194413DEST_PATH_IMAGE003
in order to be an index of the construction pressure,
Figure 529580DEST_PATH_IMAGE004
in order to be the task load of the construction task,
Figure 524081DEST_PATH_IMAGE005
in order to be able to actually process the time,
Figure 602895DEST_PATH_IMAGE006
in order to anticipate the time of the treatment,
Figure 366452DEST_PATH_IMAGE007
is a first correction coefficient. It should be noted that, in the following description,
Figure 138099DEST_PATH_IMAGE007
the purpose of the method is to adjust the numerical value of the construction pressure index, and the numerical value can be set according to the actual task requirement, and is not limited herein.
The construction pressure index formula shows that the larger the construction amount of a construction task is, the larger the construction pressure index formula is; the larger the actual processing time is, the more the predicted processing time cannot be reached, and the construction process of the construction task needs to be accelerated, namely the larger the construction pressure index is.
The construction amount may be set in advance according to the nature of each construction task, and for example, a pipe laying area, a wall plastering area, and the like may be used as the construction amount. The actual processing time can be obtained by calculating according to the processing progress of the current construction task, and both the actual processing time and the predicted processing time are the time required for completing one construction task.
Step S2: obtaining the predicted construction cost weight of each construction task according to the predicted construction cost information; the predicted construction cost weight of the construction task in each construction flow forms a predicted construction cost weight vector; obtaining an actual cost weight vector of each construction process according to the actual cost weight of each construction task; and obtaining the cost reliability of each construction flow according to the difference between the predicted cost weight vector and the actual cost weight vector.
The estimated cost information of each construction task can visually reflect the importance degree of the construction task in the whole construction project, the estimated cost information of each construction task can be obtained according to the BIM, and the estimated cost information is accumulated to obtain the total cost information. And taking the ratio of the predicted cost information to the total cost information as the predicted cost weight. The predicted cost weight represents a predicted importance level of each construction task prior to construction project construction.
One construction project comprises a plurality of construction processes, and one construction process comprises a plurality of construction tasks, for example, the wiring process comprises a plurality of construction tasks such as network cable laying, electric wire laying, fixed line laying and the like. The projected cost weights for the construction tasks within each construction process may form a projected cost weight vector. Similarly, the actual cost weight of each construction task can be obtained, and the actual cost weight vector can be obtained according to the actual cost weight of each construction task.
It should be noted that the actual cost weight is similar to the actual processing time, and the cost information required after the final construction is completed is deduced according to the progress data in the actual construction process.
The difference between the estimated construction cost weight vector and the actual construction cost weight vector can represent the influence of each construction process in the actual construction process and the estimated construction process on the actual condition, namely, the larger the difference is, the more the influence of various factors is caused in the actual construction process, so that the construction can not be carried out according to the estimated construction process; the smaller the difference is, the smaller the influence of other factors on the actual construction process is, and the smaller the influence of other factors is, so that the actual construction process can be constructed according to the expected construction engineering. Therefore, the cost reliability of each construction process can be obtained according to the difference between the predicted cost weight vector and the actual cost weight vector, and the method specifically comprises the following steps:
obtaining the cost reliability according to a cost reliability formula; the cost reliability formula comprises:
Figure 354316DEST_PATH_IMAGE009
wherein,
Figure 502401DEST_PATH_IMAGE010
is as follows
Figure 854885DEST_PATH_IMAGE011
The construction cost of each construction process is reliable,
Figure 63012DEST_PATH_IMAGE012
a function is calculated for the cosine similarity measure,
Figure 500947DEST_PATH_IMAGE013
is as follows
Figure 187143DEST_PATH_IMAGE011
The actual cost weight vector of each construction process,
Figure 659713DEST_PATH_IMAGE014
is as follows
Figure 38741DEST_PATH_IMAGE011
The predicted cost weight vector of each construction process,
Figure 963972DEST_PATH_IMAGE015
as a function of absolute value.
The numerator of the cost reliability formula is a cosine similarity function, the denominator is the difference of the modes of the two vectors, and a similarity degree is obtained according to the difference of the predicted cost weight vector and the actual cost weight vector, namely, the more similar the two vectors, the greater the reliability of the current actual construction process is.
Step S3: obtaining the relative busyness degree of each construction task according to the difference of construction pressure indexes among the construction tasks in each construction process; and obtaining first adjustment feasibility of the construction process according to the relative busyness degree and the construction cost reliability in each construction process.
The construction tasks in each construction flow have certain similarity, for example, in the wiring flow, workers among each wiring construction task can cooperate to work to mutually help to complete the tasks, so that the relative busy degree of each construction task can be obtained according to the difference of the construction pressure indexes among the construction tasks in each construction flow, the relative busy degree can be used as a reference index for regulation and control of the workers in the subsequent construction flow, and the specific obtaining method of the relative busy degree comprises the following steps:
obtaining a relative busyness degree according to a relative busyness degree formula; the relative busyness formula includes:
Figure 952394DEST_PATH_IMAGE017
wherein,
Figure 13891DEST_PATH_IMAGE018
to the extent that construction task a is relatively busy,
Figure 563821DEST_PATH_IMAGE019
for the number of construction tasks in the construction process,
Figure 976348DEST_PATH_IMAGE020
is the construction pressure index of the construction task A,
Figure 269926DEST_PATH_IMAGE021
is the first in the construction process
Figure 451509DEST_PATH_IMAGE011
The construction pressure index of each construction task.
In the formula of the relative busyness degree, if the construction pressure of the construction task A is large, it indicates that the construction task A needs to carefully complete the construction task, and cannot help other construction tasks, namely, the difference between the construction pressure index of the construction task A and the construction pressure index of other construction tasks is a positive value, and the obtained relative busyness degree is a large positive number. If the construction pressure of the construction task A is smaller, the construction task A has enough time and capacity to help other construction tasks, namely the difference of the construction pressure index of the construction task A and the construction pressure index of other construction tasks is a negative value, and the obtained relative busyness degree is a smaller positive number. Therefore, the relative busy degree can effectively represent the relative busy degree between each construction task in the construction process and can be used as a reference index for regulation and control of personnel in the subsequent construction process.
The larger the difference of the relative busyness degree between the construction tasks in one construction process is, the more the personnel regulation and control are needed to be carried out in the current construction process; the smaller the construction cost reliability of one construction process is, the larger the difference between the actual construction process and the predicted construction process is, the predicted effect cannot be achieved, and personnel regulation and control are needed to be carried out on the construction process. Therefore, the first adjustment feasibility of the construction process can be obtained according to the relative busyness degree and the construction cost reliability in each construction process, and the method specifically comprises the following steps:
and obtaining a first adjustment feasibility and a second adjustment feasibility according to the adjustment feasibility formula. The adjustment feasibility formula comprises:
Figure 906761DEST_PATH_IMAGE023
wherein,
Figure 806584DEST_PATH_IMAGE024
in order to make the first adjustment possible,
Figure 638274DEST_PATH_IMAGE025
a function is calculated for the mean square error,
Figure 939942DEST_PATH_IMAGE026
a collection of relatively busy levels within a construction flow,
Figure 566095DEST_PATH_IMAGE027
the construction cost reliability corresponding to the construction process is obtained.
In the adjustment feasibility formula, the distribution situation of the relatively busy degrees in the construction flow is represented by the mean square difference between the relatively busy degrees in the construction flow. The larger the first adjustment feasibility is, the more people are required to regulate the current construction process.
Step S4: if the first adjustment feasibility is larger than a preset feasibility threshold, carrying out personnel regulation and control on the construction tasks in the construction flow according to the relatively busy degree; obtaining a second adjustment feasibility after adjustment and control, and obtaining adjustment and control rationality according to the difference between the second adjustment feasibility and the first adjustment feasibility; if the regulation and control rationality is larger than a preset rationality threshold value, continuing construction according to the construction data after current regulation and control; otherwise, the personnel regulation is carried out again until the regulation rationality is greater than the rationality threshold value.
In the embodiment of the invention, the feasibility threshold is set to be 0.4, that is, if the first adjustment feasibility is greater than 0.4, the current construction process needs to be regulated and controlled by personnel; otherwise, the construction process can continue to complete the task according to the current construction data.
Preferably, the human regulation method comprises:
and grouping the construction tasks in the construction flow according to the relative busy degree to obtain the busy level of each group in the construction flow. The busy level comprises three levels of a particularly busy level, a moderate busy level and an idle level.
And if the busy level in the construction flow comprises a particularly busy level and an idle level at the same time, working personnel of the construction tasks corresponding to the two levels cooperate to work. Namely, a proper amount of workers for idle construction tasks are transferred to busy construction tasks.
If the busy level in the construction flow only includes a particularly busy level, personnel cannot regulate and control, and the expected processing time of the corresponding construction task needs to be prolonged in order to maximize the efficiency.
If the busy level in the construction flow only comprises the idle level, the predicted processing time of the corresponding construction task is shortened. It should be noted that, in order to increase the construction efficiency, the estimated processing time of the construction task is shortened, and meanwhile, the wages of the workers are properly increased; or the number of workers is reduced, and the construction cost is controlled.
Preferably, grouping the construction tasks in the construction process according to the relative busyness degree comprises: and grouping the construction tasks in the construction flow by using a k-means clustering algorithm according to the relative busyness degree.
After being regulated and controlled by personnel, the second regulation feasibility after regulation and control can be obtained according to the same method. The second adjustment feasibility and the first adjustment feasibility can be compared to determine the regulation rationality of the regulation process, and the regulation rationality comprises the following specific steps:
obtaining regulation and control rationality according to a regulation and control rationality formula; the regulation rationality formula comprises:
Figure 953214DEST_PATH_IMAGE032
wherein,
Figure 588595DEST_PATH_IMAGE030
in order to adjust and control the reasonableness,
Figure 479191DEST_PATH_IMAGE024
in order to make the first adjustment possible,
Figure 541825DEST_PATH_IMAGE031
is a second adjustment possibility.
If the regulation and control rationality is greater than the preset rationality threshold value, the construction data in the construction process after regulation and control is more reasonable than the construction data before regulation and control, the expected construction effect can be better achieved, and the construction can be continued according to the construction data after the current regulation and control. Otherwise, regulating and controlling the personnel again, changing a regulating and controlling method or the quantity of the regulating and controlling personnel until the regulating and controlling reasonableness is greater than the reasonability threshold value, and finishing the regulating and controlling process.
In an embodiment of the invention, the rationality threshold is set to 0.7.
The construction cost control is realized by analyzing each construction flow, so that the whole construction project can achieve the predicted construction effect or the predicted construction cost information is adjusted to be more reasonable.
In summary, the embodiment of the present invention obtains the predicted construction data of each construction task and the actual construction data of the actual construction process through the BIM model. And obtaining the construction pressure index of each construction task according to the actual processing time and the predicted processing time of the construction task. And obtaining the construction cost reliability of each construction process through the difference between the predicted construction cost weight vector and the actual construction cost weight vector. And obtaining the relative busy degree of the construction tasks in the construction process according to the construction pressure index, and further obtaining the first adjustment feasibility of each construction process. And judging whether personnel regulation and control are needed to be carried out on the construction process according to the first regulation feasibility, and judging regulation and control rationality according to a regulated and controlled second regulation feasible system. The embodiment of the invention provides a scientific and effective engineering cost control method in consideration of construction data in the actual construction process.
The invention also provides a BIM-based project cost control system, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein when the processor executes the computer program, the step of the BIM project cost control method based on computer aided design is realized.
It should be noted that: the sequence of the above embodiments of the present invention is only for description, and does not represent the advantages or disadvantages of the embodiments. The processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A BIM project cost control method based on computer aided design is characterized by comprising the following steps:
obtaining the predicted processing time and predicted construction cost information of each construction task according to the BIM; obtaining the construction pressure index of each construction task according to the actual processing time and the predicted processing time in the actual project;
obtaining the estimated construction cost weight of each construction task according to the estimated construction cost information; the predicted construction cost weight of the construction task in each construction flow forms a predicted construction cost weight vector; obtaining an actual cost weight vector of each construction process according to the actual cost weight of each construction task; obtaining the cost reliability of each construction flow according to the difference between the estimated cost weight vector and the actual cost weight vector;
obtaining the relative busyness degree of each construction task according to the difference of the construction pressure indexes among the construction tasks in each construction process; obtaining a first adjustment feasibility of the construction flow according to the relative busyness degree and the construction cost reliability in each construction flow;
if the first adjustment feasibility is larger than a preset feasibility threshold value, carrying out personnel regulation and control on the construction tasks in the construction flow according to the relative busy degree; obtaining a second adjustment feasibility after adjustment and control, and obtaining adjustment and control rationality according to the difference between the second adjustment feasibility and the first adjustment feasibility; if the regulation and control rationality is larger than a preset rationality threshold value, continuing construction according to the construction data after current regulation and control; otherwise, the personnel regulation is carried out again until the regulation rationality is larger than the rationality threshold value.
2. The BIM project cost control method based on computer aided design according to claim 1, wherein the obtaining of the construction pressure index of each construction task according to the actual processing time and the predicted processing time in the actual project comprises:
obtaining the construction pressure index according to a construction pressure index formula; the construction pressure index formula comprises:
Figure 260692DEST_PATH_IMAGE002
wherein,
Figure DEST_PATH_IMAGE003
in order to provide the index of the construction pressure,
Figure 732387DEST_PATH_IMAGE004
for the task amount of the construction task,
Figure DEST_PATH_IMAGE005
in order to be the actual processing time,
Figure 477489DEST_PATH_IMAGE006
for the purpose of the estimated processing time or times,
Figure DEST_PATH_IMAGE007
is a first correction coefficient.
3. The BIM project cost control method based on computer aided design according to claim 1, wherein the obtaining of the predicted cost weight for each of the construction tasks according to the predicted cost information comprises:
accumulating the estimated cost information to obtain total cost information; and taking the ratio of the predicted cost information to the total cost information as the predicted cost weight.
4. The BIM project cost control method based on computer aided design according to claim 1, wherein the obtaining the cost reliability of each construction process according to the difference between the predicted cost weight vector and the actual cost weight vector comprises:
obtaining the cost reliability according to the cost reliability formula; the cost reliability formula comprises:
Figure DEST_PATH_IMAGE009
wherein,
Figure 976603DEST_PATH_IMAGE010
is as follows
Figure DEST_PATH_IMAGE011
The construction cost reliability of each of the construction processes,
Figure 869473DEST_PATH_IMAGE012
a function is calculated for the cosine similarity measure,
Figure DEST_PATH_IMAGE013
is as follows
Figure 315498DEST_PATH_IMAGE011
Said actual cost weight vector for each said construction process,
Figure 977423DEST_PATH_IMAGE014
is as follows
Figure 116280DEST_PATH_IMAGE011
Said projected cost weight vector for each said construction process,
Figure DEST_PATH_IMAGE015
as a function of absolute value.
5. The BIM project cost control method based on computer aided design according to claim 1, wherein the obtaining the relative busyness degree of each construction task according to the difference of the construction pressure indexes among the construction tasks in each construction process comprises:
obtaining the relative busyness degree according to a relative busyness degree formula; the relative busyness formula includes:
Figure DEST_PATH_IMAGE017
wherein,
Figure 230867DEST_PATH_IMAGE018
for constructionThe relative busyness of task a,
Figure DEST_PATH_IMAGE019
for the number of the construction tasks in the construction process,
Figure 215003DEST_PATH_IMAGE020
for the construction pressure indicator of construction task a,
Figure DEST_PATH_IMAGE021
is the first in the construction process
Figure 997015DEST_PATH_IMAGE011
The construction pressure index of the construction task.
6. The BIM project cost control method based on computer aided design according to claim 1, wherein the obtaining the first adjustment feasibility of the construction process according to the relative busyness degree and the cost reliability in each construction process comprises:
obtaining the first adjustment feasibility and the second adjustment feasibility according to an adjustment feasibility formula; the adjustment feasibility formula comprises:
Figure DEST_PATH_IMAGE023
wherein,
Figure 41194DEST_PATH_IMAGE024
in order to make the first adjustment possible,
Figure DEST_PATH_IMAGE025
a function is calculated for the mean square error,
Figure 908656DEST_PATH_IMAGE026
for the construction flowThe set of relatively busy levels in the process,
Figure DEST_PATH_IMAGE027
and the construction cost reliability corresponding to the construction process is obtained.
7. The BIM project cost control method based on computer aided design according to claim 1, wherein the personnel regulation and control of the construction task in the construction process according to the relative busyness degree comprises:
grouping the construction tasks in the construction flow according to the relative busy degree to obtain the busy level of each group in the construction flow; the busy level comprises three levels of a particularly busy level, a moderate busy level and an idle level;
if the busy level in the construction flow comprises the particularly busy level and the idle level at the same time, working personnel of the construction tasks corresponding to the two levels work cooperatively;
if the busy level in the construction flow only comprises the particularly busy level, prolonging the predicted processing time corresponding to the construction task;
if the busy level in the construction flow only comprises the idle level, the estimated processing time corresponding to the construction task is shortened.
8. The BIM project cost control method based on computer aided design according to claim 7, wherein the grouping the construction tasks in the construction process according to the relative busyness degree comprises:
and grouping the construction tasks in the construction flow by utilizing a k-means clustering algorithm according to the relative busyness degree.
9. The BIM project cost control method based on computer aided design according to claim 1, wherein the obtaining regulation rationality according to the difference between the second regulation feasibility and the first regulation feasibility comprises:
obtaining the regulation rationality according to a regulation rationality formula; the regulation rationality formula comprises:
Figure DEST_PATH_IMAGE029
wherein,
Figure 696483DEST_PATH_IMAGE030
in order to make the regulation reasonable,
Figure 333001DEST_PATH_IMAGE024
in order to make the first adjustment possible,
Figure DEST_PATH_IMAGE031
the second adjustment feasibility.
10. A BIM based construction cost control system comprising a memory, a processor and a computer program stored in said memory and executable on said processor, wherein said processor when executing said computer program implements the steps of the method according to any one of claims 1 to 9.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106202723A (en) * 2016-07-10 2016-12-07 北京工业大学 A kind of BIM subway work method
CN108550020A (en) * 2018-03-30 2018-09-18 四川成化工程项目管理有限公司 Building cost control method based on BIM technology
CN113643069A (en) * 2021-08-19 2021-11-12 广东隽衡工程造价咨询有限公司 Engineering cost control method based on BIM technology
CN114004631A (en) * 2021-10-20 2022-02-01 广东建瀚工程管理有限公司 Engineering cost control method and system based on BIM technology and computer equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106202723A (en) * 2016-07-10 2016-12-07 北京工业大学 A kind of BIM subway work method
CN108550020A (en) * 2018-03-30 2018-09-18 四川成化工程项目管理有限公司 Building cost control method based on BIM technology
CN113643069A (en) * 2021-08-19 2021-11-12 广东隽衡工程造价咨询有限公司 Engineering cost control method based on BIM technology
CN114004631A (en) * 2021-10-20 2022-02-01 广东建瀚工程管理有限公司 Engineering cost control method and system based on BIM technology and computer equipment

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