CN117436770A - BIM-based building engineering construction management method and system - Google Patents
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Abstract
The invention discloses a building engineering construction management method and a system based on BIM, which particularly relate to the technical field of building engineering construction management and are used for solving the problem of unclear data requirements in construction stages.
Description
Technical Field
The invention relates to the technical field of building engineering construction management, in particular to a building engineering construction management method and system based on BIM.
Background
BIM technology is a datamation tool applied to engineering design, construction and management, and by integrating datamation and informatization models of buildings, sharing and transmitting are carried out in the whole life cycle process of project planning, operation and maintenance, so that engineering technicians can correctly understand and effectively respond to various building information, a cooperative work foundation is provided for design teams and construction subjects of all parties including buildings and operation units, and important effects are played in the aspects of improving production efficiency, saving cost and shortening construction period.
The prior art has the following defects:
when building construction is carried out according to the building engineering information base, a construction scheme is required to be designed firstly, then the BIM is constructed, and finally the building construction is carried out, so that the whole time consumption of the building construction is long, and the model cannot be quickly modified according to actual conditions; when building BIM, in order to improve transparency and convenient exchange of construction, can set up the access terminal generally to make things convenient for owner, designer, constructor etc. to look into building information fast, but contain too much building data in the BIM, make the data volume that the participant received many, can't discern the different data demand of each construction stage, and then can not fast, accurate data update, cause model data to update slowly, update makes mistakes, conditions such as cooperation response delay is big, and then influence the construction efficiency of building engineering.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide a building engineering construction management method and system based on BIM, which firstly uses a cloned bach confidence coefficient to detect and confirm effective secondary indexes of secondary indexes in a building engineering construction process, performs correlation verification between the confirmed effective secondary indexes, and weights the secondary indexes with the correlation meeting requirements to obtain index weights, thereby adjusting different participants in the building engineering construction management process, and acquiring management data generated in the construction process after adjustment, so as to determine construction management influence conditions of each participant, so as to solve the problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the building engineering construction management method based on BIM comprises the following steps:
classifying each engineering index in different stages of building engineering construction management, and performing virtual simulation on classification results through a computer simulation and emulation technology to obtain a secondary index under each engineering index;
the clone Bach credibility coefficient is adopted to detect the internal consistency of the secondary index in the construction process of the building engineering, and the effective secondary index is determined;
verifying whether correlation exists between the confirmed effective secondary indexes, establishing hypothesis by summarizing secondary index item variables, and weighting the secondary indexes according to the correlation condition between the secondary index item variables obtained by analyzing the hypothesis to obtain index weight;
according to the obtained index weight, adjusting different participants in the building engineering construction management process to obtain management data generated in the construction process after adjustment;
and analyzing the management data, determining construction management influence conditions of all the participants, and regulating and controlling and early warning when the construction management has problems.
In a preferred embodiment, each engineering index in different stages of construction engineering management is classified, and the classification result is virtually simulated by a computer simulation and emulation technology to obtain a secondary index under each engineering index, wherein the specific process is as follows:
classifying importance and relevance in different stages of building engineering construction management by adopting an expert investigation method, and establishing a hierarchical engineering index system;
building a virtual model of the building engineering by using a computer simulation and emulation technology so as to simulate the physical structure and the construction process of the building;
running a virtual model, simulating each stage of the building engineering, obtaining the effects of different designs and construction schemes on quality, safety, progress and the like through simulation, and collecting data generated by the simulation operation to obtain the numerical value and effect of each engineering index;
and screening and combining lower attribute indexes of each engineering index in construction management to serve as a second-level index.
In a preferred embodiment, the clone Bach credibility coefficient is used for internal consistency detection of secondary indexes in the construction process of building engineering, and effective secondary indexes are determined, wherein the specific process is as follows:
acquiring the number of the secondary index items, the variance of the secondary index items and the total variance of all the measured secondary index items, and calculating to obtain a cloned Bach credibility coefficient;
and deleting the secondary indexes which do not meet the condition for the secondary index items exceeding the set clone Bach credibility coefficient as effective secondary indexes.
In a preferred embodiment, the verification of whether there is a correlation between the secondary indicators that are validated is performed as follows:
summarizing the second-level index item variable to establish hypothesis, and establishing zero hypothesis and a corresponding variable covariance matrix;
based on the observed difference between the covariance matrix and the theoretical identity matrix, calculating to obtain chi-square statistics;
calculating the degree of freedom based on the variable number, the degree of freedom being equal to the degree of freedom of the variable number minus the variable number;
setting a significance level, and performing hypothesis testing by using chi-square statistics and degrees of freedom; and comparing the chi-square statistic with the critical value of chi-square distribution, and rejecting zero assumption if the chi-square statistic exceeds the critical value, so as to indicate that the correlation exists between the two-level index item variables.
In a preferred embodiment, the secondary index is weighted to obtain the index weight according to the correlation condition among the secondary index item variables obtained by analysis hypothesis, and the specific process is as follows:
collecting data information related to each secondary index, normalizing each index, converting the index into a dimensionless form, and realizing the standardization by a Z-score standardization method;
establishing and calculating a correlation coefficient matrix among the indexes, wherein the correlation coefficient matrix reflects the linear relation among the indexes;
for each index, the information entropy of each index and the weight of each index are calculated.
In a preferred embodiment, the management data is analyzed to determine the construction management influence of each participant, and the specific process is as follows:
analyzing management data generated in the construction process to obtain cooperative response information and business coincidence information;
the cooperative response information comprises an accurate information transfer index, and the business coincidence information comprises an engineering business intersection stability index;
comprehensively calculating the acquired accurate information transfer index and engineering business intersection stability index to acquire a management regulation coefficient;
the accurate information transfer index and the engineering business intersection stability index are in direct proportion to the management regulation and control coefficient;
and comparing the generated management regulation and control coefficient with a management threshold value.
In a preferred embodiment, the generated management regulation factor is compared with a management threshold, and the specific process is as follows:
after the management regulation and control coefficient is obtained, the management regulation and control coefficient is compared with a management threshold value;
if the management regulation and control coefficient is greater than or equal to the management threshold value, generating a management regulation and control stable signal;
and if the management regulation coefficient is smaller than the management threshold value, generating a management regulation abnormal signal.
In a preferred embodiment, when a problem occurs in construction management, performing regulation and early warning means performing an intelligent data update strategy on a participant generating a management regulation abnormal signal, identifying data with error or abnormality by using an algorithm or rule, and simultaneously performing an intelligent data pushing mechanism to push a data area with the problem to inform the participant and perform alarm reminding.
The building engineering construction management system based on BIM is used for the building engineering construction management method based on BIM, and comprises the following steps:
the engineering information acquisition module is used for acquiring various data information generated in different stages of building engineering construction management, including engineering index classification information, index weight information and management data information;
the building information analysis module is used for detecting the internal consistency of the secondary indexes in the building engineering construction process, verifying whether the correlation exists between the secondary indexes which are confirmed to be effective, building a hypothesis by summarizing the secondary index item variables, and weighting the secondary indexes according to the correlation condition between the secondary index item variables obtained by analysis of the hypothesis to obtain index weights;
the adjusting module is used for adjusting different participants in the construction management process of the building engineering and acquiring management data generated in the construction process after adjustment;
and the construction management module is used for analyzing the management data, determining construction management influence conditions of all the participants, and regulating and controlling and early warning when the construction management has a problem.
The invention has the technical effects and advantages that:
the invention collects various data information generated in different stages of construction management of the building engineering, detects the internal consistency of the secondary indexes in the construction process of the building engineering, verifies whether the effective secondary indexes are related or not, establishes hypothesis by summarizing secondary index item variables after verification, weights the secondary indexes to obtain index weights according to the correlation among the secondary index item variables obtained by analysis hypothesis, adjusts construction management of different participators according to the index weights, analyzes management data generated in the construction process after adjustment, determines the construction management influence condition of each participator, readjusts the data requirement, reduces the conditions of slow data update, error update, large cooperative response delay and the like, and improves the construction efficiency of the building engineering.
Drawings
FIG. 1 is a flow chart of a BIM-based construction engineering construction management method of the present invention.
Fig. 2 is a schematic structural diagram of the building engineering construction management system based on the BIM of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment 1, as shown in fig. 1, is a building engineering construction management method based on BIM, and the measurement method comprises the following steps:
in building engineering construction management, the BIM technology is used for converting traditional points, lines and surfaces into building components, such as columns, beams, walls, plates, doors, windows and the like, each component is provided with attribute information, and a bidirectional association relation is established with other components, the attributes and the association relation are expressed and calculated through parameters and parameter values, each component entity object contains various information, including basic data of geometric attributes (such as length, width and height), physical structure attributes (such as materials), functional attributes and the like, and extended attribute information of technical parameters, cost data, progress data, construction information, maintenance information and the like, and is maintained and updated in the life cycle of each stage of the whole building engineering.
In the construction engineering construction management, engineering construction is carried out through cooperative work, all the participants use a 3D model of BIM together and take the BIM as a core tool, so that comprehensive information is formed, basic information of components is contained, basic information such as geometric parameters, physical characteristic parameters and functional attribute parameters is covered, and key factors of project management such as quality, safety, cost, progress and civilized construction are integrated.
In the cooperative work process, each participant continuously performs data input, updating and extraction, real-time performance and accuracy of the model are ensured, attribute parameters of the components are only required to be input once in the whole cooperative process, the BIM database is updated immediately, data consistency is ensured, each participant can share and acquire data information from different angles according to the authority range, and the participants update and acquire the information at any time according to actual needs.
In each stage of each life cycle of the building engineering, in the process of managing each participant, the quality of construction data has important influence on indexes such as progress, cost and the like of the engineering project;
BIM collision detection is a technology performed by BIM software model detection tools, is used for searching and recording the collision relation among the primitive structures in a building information model and generating an output report, and can be applied to different professional fields in a construction stage, wherein the technology comprises the following collision detection of a building model and a structure model, a structure model and an electromechanical model, a building model and a construction auxiliary mechanical equipment model and the like, and the specific application is as follows:
collision checking of building model and structural model: the coordination consistency between the building design and the structural design is ensured, and the conflict and the problem in the actual construction are avoided;
collision checking of structural model and electromechanical model: the layout and connection between the structure and the electromechanical system are ensured to be free from conflict, the problems that the construction progress and quality are possibly affected are found and solved in advance, the pipeline arrangement which is unreasonable in optimization adjustment is realized through three-dimensional accurate arrangement and collision detection of the electromechanical comprehensive pipeline, the optimization of the pre-buried and anti-seismic support and the fixed support is reserved in water and electricity, the use efficiency of the space in a building is improved, and meanwhile, the conflict between professional pipelines is avoided.
By performing three-dimensional simulation among building categories, BIM collision inspection can find hidden problems and contradictions in time before construction, and stability analysis is performed on building engineering construction management by using credibility analysis, and the specific process is as follows:
classifying each engineering index in different stages in the construction management of the building engineering by adopting an expert investigation method, virtually simulating each aspect of the building engineering by using a computer simulation and emulation technology according to analysis results, evaluating effects of different designs and construction schemes, and obtaining secondary indexes under each engineering index, wherein the method is as follows;
the expert classifies engineering indexes according to importance and relevance in construction management, establishes a layered engineering index system, and establishes a virtual model of the building engineering by using a computer simulation and emulation technology so as to simulate a physical structure, a construction process and the like of the building;
setting various parameters in the model, including design scheme, construction scheme, material properties, process flow and the like, which will affect various aspects of the building engineering in the simulation;
running a virtual model (BIM), simulating each stage of the building engineering, obtaining the effects of different designs and construction schemes on quality, safety, progress and the like through simulation, and collecting data generated by simulation running to obtain the numerical value and effect of each engineering index;
the construction engineering construction management process comprises four stages of modeling design management indexes, installation management indexes, test management indexes and operation management indexes, wherein lower attribute indexes of the stages in the construction management are screened and combined to form secondary indexes, the modeling design management indexes comprise design standardization degree, collaborative design level and the like, the installation management indexes comprise material entrance time error values, construction plan on-time completion levels, on-time delivery conditions and the like, the operation management indexes comprise space management levels, asset management levels, energy consumption management levels and the like, and the secondary indexes for the construction engineering construction lower management process indexes are obtained, for example, the collaborative design levels represent collaborative design levels among the participants, and the material entrance time error values represent time errors of postponing or advancing entrance of building materials, and are not listed one by one.
Internal consistency detection of secondary indexes in building engineering construction process by adopting clone Bach credibility coefficient, determining validity index and deleting duplicateThe secondary index with low significance reduces the influence of unimportant indexes, and the calculation formula of the cloned Bach credibility coefficient is as follows:where k is the number of measured secondary indicators, +.>Is the variance of the second level indicator term of the ith measurement,/>Is the overall variance of all measured secondary indicators, the closer to 1 the coefficient value ranges from 0 to 1, the higher the consistency between measured secondary indicators. In general, if the cloned Bach confidence coefficient exceeds 0.7, it means that there is a good internal consistency, i.e., 0.7 is used as a screening condition for the second level index item screening, the cloned Bach confidence coefficient is applied to the construction engineering process to evaluate the consistency level of each participant in a certain aspect, determine the reliability of the investigation or evaluation tool, and provide information about the consistency degree of the participant in a specific aspect.
The Bartlett test is used for confirming whether correlation exists between the two-level index item variables, summarizing the two-level index item variables to establish hypothesis, establishing zero hypothesis and a variable covariance matrix, wherein the variable covariance matrix is an identity matrix, namely the variables are mutually independent, establishing alternative hypothesis, and the covariance matrix between the variables is not the identity matrix, namely the correlation exists between the variables;
calculating chi-square statistics: the chi-square statistic is calculated to calculate the difference between the observed variable covariance matrix (covariance matrix) and the theoretical identity matrix, and the calculation formula is:n is the sample size, p is the variable number;
the degree of freedom is calculated: the calculation of the degrees of freedom is based on the number of variables, and the degrees of freedom is equal to the number of variables minus the number of variables:；
setting a significance level (usually 0.05), determining whether to reject zero hypothesis, and performing hypothesis testing by using chi-square statistics and degrees of freedom; comparing the chi-square statistic with critical values of chi-square distribution, rejecting zero hypothesis if the chi-square statistic exceeds the critical value, and if the zero hypothesis is rejected, indicating that correlation exists between two level index item variables, searching the critical values under corresponding significance level and degree of freedom by using a chi-square distribution table, wherein the chi-square distribution table lists percentage points of the chi-square distribution under different degrees of freedom and significance level.
Weighting the indexes according to the correlation condition among the two-level index item variables obtained through analysis, and using an entropy weighting method, wherein the specific steps are as follows:
normalized data: collecting data information related to each secondary index, normalizing each index, converting the index into a dimensionless form, and realizing the standardization, normalization and other methods by using a Z-score;
building and calculating a correlation coefficient matrix: establishing and calculating a correlation coefficient matrix among the indexes, wherein the correlation coefficient matrix reflects the linear relation among the indexes;
calculating information entropy: for each index, calculating the information entropy of the index, wherein the information entropy represents randomness and uncertainty of the index, and the formula is as follows:wherein->Is the information entropy of the secondary index i, +.>Is the relative weight of index i in sample j;
calculating weights: the weight of each index, i.e. its contribution, is calculated. The weight is calculated by using information entropy and a correlation coefficient, and a general calculation formula is as follows:the present invention relates to a method for manufacturing a semiconductor deviceIn (I)>Is the weight of the secondary index i, +.>The average value of the correlation coefficients of the secondary index and other indexes is normalized, the sum is ensured to be 1 so as to be used as the final index weight, the larger the weight distributed by the entropy weight method is, the larger the importance of the corresponding index in comprehensive evaluation is, the larger the influence on decision is, the secondary index is used as the index of subsequent analysis, and the finally obtained secondary index weight is used as the index weight of the subsequent analysis.
According to the obtained index weight, different participants are adjusted in the building engineering construction management process, and the display and function setting of the system are adjusted according to the requirements, including layout, data display modes, quick access of common functions and the like, so that the construction management efficiency is improved;
analyzing management data generated in the construction process to determine construction management conditions of the building engineering, namely acquiring cooperative response information and business superposition information in the construction management process of the building engineering;
the cooperative response information comprises an accurate information transfer index and is marked as ZQX, and the business coincidence information comprises an engineering business intersection stability index and is marked as GCY;
the accurate information transfer index in the cooperative response information indicates information conditions of cooperative work performed by the participants in each stage of building engineering management for Building Information Modeling (BIM), and is used for measuring whether the information can be accurately and clearly transferred to the receiver in the cooperative work, and the accurate information transfer index can affect the following aspects:
design consistency: accurate information transfer is a basis for ensuring design consistency, and in building engineering, the design relates to a plurality of professional fields including structure, electromechanics, buildings and the like, and when the information transfer in cooperative work is inaccurate, the design is possibly inconsistent, so that the overall quality of the buildings is affected;
conflict detection and resolution: BIM software is used for carrying out conflict detection in cooperative work, so that design and construction information among various professions are ensured not to conflict, if information transmission is inaccurate, potential conflict cannot be found and solved in time, and the cost of later modification is increased;
the construction quality is as follows: accurate transfer of construction information in collaborative work is critical to the construction process, and if information in a building model cannot be accurately transferred to a construction team, misunderstanding of a construction scheme is caused, and construction quality and progress are affected.
The accurate information transfer index is obtained by the following steps: the method comprises the steps of obtaining the quantity ZS of information transmission in each time period in the cooperative work process and the quantity FH of updated information meeting the requirements after collision detection, wherein the calculation expression of an accurate information value ZQ is as follows:establishing an accurate value set of information +.>N is a positive integer, the ageing duration SX of each updated information is obtained, and an ageing duration set is established>N is a positive integer, the total information weight QZ corresponding to each updated information is obtained, the accurate information transfer index is obtained through calculation, and the calculated expression is:。
the method is characterized in that information is collected through means such as project assessment, team feedback and error correction record, an accurate value of the information is calculated according to the collected information, the aging time of each updated information refers to the time from generation to receiving, the time from a participant to logging in to building engineering construction management to finish information data updating, the information quantity meeting the requirements after collision detection can be obtained by using the collision monitoring and conflict resolution functions of BIM software, therefore, the uploaded design and construction information is verified, the accurate value of the information is determined, the total weight of the information is index weight data obtained in an entropy weight method, and the index weight data is obtained by accumulating according to information indexes.
The engineering business intersection stability index in the business coincidence information is used for measuring the stability of intersection between different building related businesses in the building engineering, and is used for evaluating the cooperative work degree among the business fields, the stability of information transmission, and the decision and communication effects on a business intersection point, and the engineering business intersection stability index has influence on the following aspects:
stability of information transfer: the engineering business intersection stability index reflects the stability of information transmission between business fields, and the high stability index indicates that the information is transmitted more accurately and stably on a business intersection point, so that the possibility of information distortion and misunderstanding is reduced;
overall efficiency of the project: the engineering business intersection stability index is beneficial to improving the overall efficiency of the project, the effective business intersection point means that a project team can make decisions more quickly and better deal with changes, so that the overall efficiency of the project is improved, the problem solving speed is higher, on the business intersection point, the participants can identify and solve the problems more quickly, and the expansion and influence of the problems are prevented.
The engineering business intersection stability index is obtained by the following steps:
acquiring historical update data of engineering participants, recording a building data area updated in the historical update data, acquiring building data areas changed by other participants in a set unit time, acquiring a service intersection area and service intersection times CS, acquiring corresponding secondary index quantity ZN, index weight and QH, and calculating a total value:establishing a summary value set of historical unit time +.>M is a positive integer, and calculating the average value +.>Calculating engineering business intersection stability indexes, wherein the calculation expression is as follows:。
it should be noted that, the historical update data refers to performing related building data update data on the BIM, each participant manages different building data areas due to different services, that is, the whole building data area is divided into different sub-areas, each sub-area is responsible for a specific participant, each responsible party has responsibility to manage its responsible area, so as to generate historical update data of an area, for example, a building design team is responsible for building appearance, internal space layout, etc., an electromechanical design team is responsible for building electrical, ventilation, air conditioning, etc., and a service junction refers to a place where different professions or service areas meet each other in a building project.
Comprehensively calculating the acquired accurate information transfer index ZQX and engineering business intersection stability index GCY to obtain a management regulation and control coefficient, and expressing the formula:wherein->For managing the control coefficient->、/>Preset proportional coefficients for quasi-information transfer index ZQX, engineering business intersection stability index GCY, and +.>、/>Are all greater than 0.
It should be noted that, the size of the preset scaling factor is a specific numerical value obtained by quantizing each parameter, and in order to facilitate the subsequent comparison, the size of the scaling factor depends on the number of sample data and the person skilled in the art to initially set a corresponding preset scaling factor for each group of sample data; and the method is not unique, and only the proportional relation between the parameter and the quantized numerical value is not influenced, such as the proportional relation between the engineering business intersection stability index and the management regulation and control coefficient.
The larger the accurate information transfer index is, the larger the engineering business intersection stability index is, namely the larger the expression value of the management regulation coefficient is, the higher the accuracy is in the building management process, the higher the information transfer accuracy and the cooperative stability of different business fields are, the better the performance of the participants in building management is, the better the cooperative effect among the different business fields is, the smaller the accurate information transfer index is, the smaller the engineering business intersection stability index is, namely the smaller the expression value of the management regulation coefficient is, the unstable the cooperative work among the different business fields is, and the worse the cooperative effect among the different business fields is.
Comparing the generated management regulation and control coefficient with a management threshold value to generate different management signals so as to carry out construction management of the building engineering;
after the management regulation and control coefficient is obtained, the management regulation and control coefficient is compared with a management threshold value;
if the management regulation and control coefficient is greater than or equal to the management threshold value, a management regulation and control stable signal is generated, which indicates that no adjustment of a management strategy of a participant in building engineering construction is needed, and continuous normal monitoring is carried out;
if the management regulation coefficient is smaller than the management threshold, a management regulation abnormal signal is generated, which indicates that a business problem occurs in the process of building engineering construction management, and the reason of the management regulation abnormal is required to be clearly determined, so that policy management is performed.
When the management regulation abnormal signal is generated, the management is carried out according to the following steps:
the method comprises the steps of carrying out finer classification and updating on building data of a participant generating a management regulation abnormal signal, dividing the building data into different data levels or labels, definitely determining areas with data problems, introducing an intelligent data updating strategy into the data areas, identifying and changing wrong or abnormal data by utilizing an algorithm or a rule, simultaneously carrying out an intelligent data pushing mechanism, pushing the data areas with problems to inform the participant, carrying out alarm reminding on the data areas with problems, and reducing the probability of subsequent problems.
In the present embodiment, the threshold values are set according to actual conditions, and are not fixed values, and thus, excessive analysis is not performed.
The invention collects various data information generated in different stages of construction management of the building engineering, detects the internal consistency of the secondary indexes in the construction process of the building engineering, verifies whether the effective secondary indexes are related or not, establishes hypothesis by summarizing secondary index item variables after verification, weights the secondary indexes to obtain index weights according to the correlation among the secondary index item variables obtained by analysis hypothesis, adjusts construction management of different participators according to the index weights, analyzes management data generated in the construction process after adjustment, determines the construction management influence condition of each participator, readjusts the data requirement, reduces the conditions of slow data update, error update, large cooperative response delay and the like, and improves the construction efficiency of the building engineering.
Embodiment 2, which is a system embodiment of embodiment 1, is configured to implement the building engineering construction management method based on BIM described in embodiment 1, as shown in fig. 2, and specifically includes:
the engineering information acquisition module is used for acquiring various data information generated in different stages of building engineering construction management, including engineering index classification information, index weight information and management data information;
the building information analysis module is used for detecting the internal consistency of the secondary indexes in the building engineering construction process, verifying whether the correlation exists between the secondary indexes which are confirmed to be effective, building a hypothesis by summarizing the secondary index item variables, and weighting the secondary indexes according to the correlation condition between the secondary index item variables obtained by analysis of the hypothesis to obtain index weights;
the adjusting module is used for adjusting different participants in the construction management process of the building engineering and acquiring management data generated in the construction process after adjustment;
and the construction management module is used for analyzing the management data, determining construction management influence conditions of all the participants, and regulating and controlling and early warning when the construction management has a problem.
The above formulas are all formulas for removing dimensions and taking numerical calculation, and specific dimensions can be removed by adopting various means such as standardization, and the like, which are not described in detail herein, wherein the formulas are formulas for acquiring a large amount of data and performing software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, ATA hard disk, tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state ATA hard disk.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. The building engineering construction management method based on BIM is characterized by comprising the following steps:
classifying each engineering index in different stages of building engineering construction management, and performing virtual simulation on classification results through a computer simulation and emulation technology to obtain a secondary index under each engineering index;
the clone Bach credibility coefficient is adopted to detect the internal consistency of the secondary index in the construction process of the building engineering, and the effective secondary index is determined;
verifying whether correlation exists between the confirmed effective secondary indexes, establishing hypothesis by summarizing secondary index item variables, obtaining correlation conditions between the secondary index item variables according to analysis hypothesis, and weighting the secondary indexes to obtain index weights;
according to the obtained index weight, adjusting different participants in the building engineering construction management process to obtain management data generated in the construction process after adjustment;
and analyzing the management data, determining construction management influence conditions of all the participants, and regulating and controlling and early warning when the construction management has problems.
2. The BIM-based construction engineering construction management method according to claim 1, wherein: classifying the engineering indexes in different stages of building engineering construction management, and virtually simulating the classification result through a computer simulation and emulation technology to obtain secondary indexes under the engineering indexes, wherein the specific process is as follows:
classifying importance and relevance in different stages of building engineering construction management by adopting an expert investigation method, and establishing a hierarchical engineering index system;
building a virtual model of the building engineering by using a computer simulation and emulation technology so as to simulate the physical structure and the construction process of the building;
running a virtual model, simulating each stage of the building engineering, obtaining the effects of different designs and construction schemes on quality, safety and progress through simulation, and collecting data generated by the simulation operation to obtain the numerical value and effect of each engineering index;
and screening and combining lower attribute indexes of each engineering index in construction management to serve as a second-level index.
3. The building engineering construction management method based on BIM according to claim 2, wherein: the clone Bach credibility coefficient is adopted to detect the internal consistency of the secondary index in the construction process of the building engineering, and the effective secondary index is determined, and the specific process is as follows:
acquiring the number of the secondary index items, the variance of the secondary index items and the total variance of all the measured secondary index items, and calculating to obtain a cloned Bach credibility coefficient;
and deleting the secondary indexes which do not meet the condition for the secondary index items exceeding the set clone Bach credibility coefficient as effective secondary indexes.
4. A BIM-based construction engineering construction management method according to claim 3, wherein: verifying whether correlation exists between the valid secondary indexes, wherein the specific process is as follows:
summarizing the second-level index item variable to establish hypothesis, and establishing zero hypothesis and a corresponding variable covariance matrix;
based on the observed difference between the covariance matrix and the theoretical identity matrix, calculating to obtain chi-square statistics;
calculating the degree of freedom based on the variable number, the degree of freedom being equal to the degree of freedom of the variable number minus the variable number;
setting a significance level, and performing hypothesis testing by using chi-square statistics and degrees of freedom; and comparing the chi-square statistic with the critical value of chi-square distribution, and rejecting zero assumption if the chi-square statistic exceeds the critical value, so as to indicate that the correlation exists between the two-level index item variables.
5. The building engineering construction management method based on BIM according to claim 4, wherein: according to the correlation condition among the secondary index item variables obtained by analysis hypothesis, weighting the secondary index to obtain index weight, wherein the specific process is as follows:
collecting data information related to each secondary index, normalizing each index by a Z-score normalization method, and converting the data information into a dimensionless form;
establishing and calculating a correlation coefficient matrix among the indexes, wherein the correlation coefficient matrix reflects the linear relation among the indexes;
for each index, the information entropy of each index and the weight of each index are calculated.
6. The building engineering construction management method based on BIM according to claim 5, wherein: analyzing the management data to determine the construction management influence condition of each participant, wherein the specific process is as follows:
analyzing management data generated in the construction process to obtain cooperative response information and business coincidence information;
the cooperative response information comprises an accurate information transfer index, and the business coincidence information comprises an engineering business intersection stability index;
comprehensively calculating the acquired accurate information transfer index and engineering business intersection stability index to acquire a management regulation coefficient;
the accurate information transfer index and the engineering business intersection stability index are in direct proportion to the management regulation and control coefficient;
and comparing the generated management regulation and control coefficient with a management threshold value.
7. The BIM-based construction engineering construction management method according to claim 6, wherein: comparing the generated management regulation and control coefficient with a management threshold, wherein the specific process is as follows:
after the management regulation and control coefficient is obtained, the management regulation and control coefficient is compared with a management threshold value;
if the management regulation and control coefficient is greater than or equal to the management threshold value, generating a management regulation and control stable signal;
and if the management regulation coefficient is smaller than the management threshold value, generating a management regulation abnormal signal.
8. The BIM-based construction engineering construction management method according to claim 7, wherein: when construction management is problematic, performing regulation and early warning means performing intelligent data updating strategy on the participants generating management regulation abnormal signals, identifying and changing wrong or abnormal data by using algorithms or rules, and simultaneously performing intelligent data pushing mechanism to push the problematic data areas to inform the participants and perform alarm reminding.
9. Building engineering construction management system based on BIM for implementing the building engineering construction management method based on BIM according to any one of claims 1 to 8, including:
the engineering information acquisition module is used for acquiring various data information generated in different stages of building engineering construction management, including engineering index classification information, index weight information and management data information;
the building information analysis module is used for detecting the internal consistency of the secondary indexes in the building engineering construction process, verifying whether the correlation exists between the secondary indexes which are confirmed to be effective, building a hypothesis by summarizing the secondary index item variables, and weighting the secondary indexes according to the correlation condition between the secondary index item variables obtained by analysis of the hypothesis to obtain index weights;
the adjusting module is used for adjusting different participants in the construction management process of the building engineering and acquiring management data generated in the construction process after adjustment;
and the construction management module is used for analyzing the management data, determining construction management influence conditions of all the participants, and regulating and controlling and early warning when the construction management has a problem.
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