Data acquisition and analysis system for constructional engineering management

Abstract

The invention discloses a data acquisition and analysis system for constructional engineering management, and the system comprises the steps: carrying out the marking of a building component through a two-dimensional code technology, obtaining the basic data of the building component, uploading the basic data to a building construction management platform, and achieving the management and control of building construction through the recognition of a two-dimensional code; the RFID technology is used for carrying out factory management and entrance management on building construction, and the RFID technology and the BIM technology are used for constructing a building component engineering model; building a building component analysis model; and constructing an optimized iterative algorithm, constructing an optimized building construction analysis model, analyzing newly added factory management data and admission management data, finding out abnormal data, and realizing data acquisition and analysis of constructional engineering management. The construction engineering management and control automation degree can be effectively improved, the accuracy can be improved, deep analysis can be carried out, engineering management and control prediction can be realized, and the requirements of construction engineering management and control production can be met.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering control, and in particular to a data collection and analysis system for construction engineering management. Background Art

[0002] Construction project control is an important part of ensuring the smooth progress of construction projects from design to completion. It involves multiple aspects such as quality, cost, progress and safety management, and is of great significance to improving the overall level of the construction industry.

[0003] The history of construction project control can be traced back to the ancient civilization period, when people had already begun to use simple planning and supervision methods to build temples and palaces. With the advent of the Industrial Revolution, construction technology has developed rapidly, and construction project control has become more complex and systematic. In the early 20th century, with the introduction of project management theory, construction project control began to introduce scientific methods and tools, such as Gantt charts and critical path method (CPM). By the end of the 20th century, with the development of computer technology, construction project control began to use information technology for more accurate planning and monitoring. Entering the 21st century, the concepts of globalization and sustainable development have put forward higher requirements for construction project control, prompting it to develop in a more efficient, environmentally friendly and intelligent direction.

[0004] The current mainstream technologies for construction project management and control include a variety of advanced information technologies and automation tools. Among them, building information modeling (BIM) and geographic information system (GIS) are two particularly critical technologies. Building information modeling is a revolutionary technology that integrates all relevant information of a project by creating a three-dimensional digital model of a building. BIM not only improves the accuracy and efficiency of the design phase, but also provides strong data support in the construction and operation phases, enabling project teams to better coordinate work, optimize resource allocation, and achieve higher construction quality and operational efficiency. The Jiang'an District Chenjiaji Rebuilding Residential and Supporting Facilities Project, jointly submitted by MCC Southern Engineering Technology Co., Ltd. and Glodon Technology Co., Ltd., won the second prize of "2021 Smart City Pioneer List Excellent Application Case" through the application of BIM+ smart construction site. In the construction of smart cities, BIM technology has realized a full-process information and intelligent collaborative model to support all stages of the construction process. Geographic Information System is a technology used to capture, store, analyze and display geospatial data. In construction project management and control, GIS technology can help project teams better understand the geographical characteristics of the project site, assess environmental impacts, plan construction layout, and monitor construction progress. The combined use of GIS and BIM provides a comprehensive perspective of geographic and building information for construction projects, greatly improving the quality and speed of decision-making.

[0005] Although construction engineering control technology has made significant progress, there are still some problems and challenges. Although BIM technology provides powerful design, construction and operation and maintenance integration capabilities in construction engineering control, BIM data collection still requires a lot of manual operations, which greatly increases subjectivity and errors. At the same time, more mature BIM systems often do not further improve their efficiency when used.

[0006] Chinese invention patent CN116258481A discloses a control method and system for intelligent construction of construction projects, which includes the following steps: S1, obtaining real-time building image data, and constructing a three-dimensional building model based on real scenes; S2, constructing an adaptive digital twin model based on the three-dimensional building model; S3, using the interactivity of the digital twin model to supervise and predict the construction site; S4, controlling the construction site according to the preset construction progress and tasks. The present invention also discloses a control system for intelligent construction of construction projects. The present invention adopts high-precision three-dimensional data and scene fusion technology combined with ground and air to construct a high-precision digital twin model that integrates construction project data, realizes full connection between construction projects and Internet databases, and comprehensively associates real-time engineering data of the construction site with the three-dimensional scene model, forming a smart construction system that can remotely monitor intelligently, produce multi-dimensional data monitoring, and allocate and schedule engineering tasks. This invention patent simply performs traditional three-dimensional modeling of the construction project and synchronizes it to the remote server for operation, which is of no substantial help to the progress of the project and the viewing of actual engineering components.

[0007] Chinese invention patent CN111311203B discloses a BIM-based project progress control system, including: BIM model construction module, construction process generation module, database generation module, project plan management module, association relationship construction module, construction progress simulation module, construction plan and actual progress comparison module. This invention configures a corresponding building visualization model for each construction process based on script recording and script playback, and each construction process The corresponding BIM model carries the corresponding parameter data. This invention is an expanded description of BIM. In essence, it only uses the traditional functions of BIM and explains it. There is no substantial innovation, and there is no further analysis and solution to the construction progress.

[0008] Therefore, we need a comprehensive construction project management and control technology that can solve the problem of excessive manual participation in the data collection process while using traditional and mature BIM technology, and further analyze the collected data to conduct in-depth predictions for project management and control. Summary of the invention

[0009] The present invention provides a data collection and analysis system for construction project management to solve the technical problems of the existing construction project management and control system, such as low automation of data collection, insufficient accuracy, no in-depth analysis, and inability to achieve project management and control prediction.

[0010] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0011] The present invention provides a data collection and analysis system for construction project management, comprising:

[0012] Using QR code technology to mark building components, obtain basic data of building components, and upload the basic data of building construction to a building construction management platform, which can realize the management and control of building construction by identifying the QR code;

[0013] Use RFID technology to manage the construction of buildings before they leave the factory and obtain the factory management data; use RFID technology to manage the construction of buildings before they enter the factory and obtain the entry management data; use RFID technology and BIM technology to build the engineering model of building components;

[0014] Pre-process the basic data of building components, factory management data, and site management data on the building component management platform, set initial weights according to the different degrees of impact of components on project completion, and build a building component analysis model;

[0015] Construct an optimization iterative algorithm, use the optimization iterative algorithm to optimize the building construction analysis model to obtain an optimized building construction analysis model, use the optimized building construction analysis model to analyze the newly added factory management data and entry management data, find out abnormal data, and realize data collection and analysis of construction project management.

[0016] Furthermore, the data collection and analysis system for construction project management uses the QR code technology to mark the building components to obtain the basic data of the building components, wherein:

[0017] During production of the said building structure, a QR code that can be scanned by a mobile device should be fixed on the main building structure;

[0018] The QR code should also contain an identifiable chip that can be identified by RFID technology;

[0019] The basic building construction data should at least include the category, model, manufacturer, price, project number, and component number of the building components.

[0020] Furthermore, the data collection and analysis system for construction project management uploads the basic building construction data to a building construction management platform, and the building construction management platform can realize the control of the building construction by identifying the QR code, wherein:

[0021] The building construction management platform should include a data center, a mobile entry terminal, a factory scanning terminal, and an entry scanning terminal;

[0022] The data center should be deployed on a high-performance server. The storage capacity of the high-performance server should be selected according to the amount of building component data in the construction project, and the concurrent task processing performance of the server should be selected according to the analysis time limit requirements and the online scale of users.

[0023] The data center is used to collect data uploaded by mobile input terminals, factory scanning terminals, and entry scanning terminals, analyze the data, and construct an analysis model;

[0024] The mobile input terminal is used to collect basic building construction data;

[0025] The factory scanning terminal should be installed at the outbound location of the building component warehouse to identify the outbound information of the building component;

[0026] The entry scanning terminal should be installed at the entrance of the construction project to identify the entry information of building components.

[0027] Furthermore, the data collection and analysis system for construction project management uses RFID technology to manage the construction of the building and obtains the factory management data, and uses RFID technology to manage the construction of the building and obtains the entry management data, wherein:

[0028] The RFID technology can realize contactless identification of building structures through radio wave signals, and realize building component management and control;

[0029] The factory management data includes the building component delivery information and time information;

[0030] The entry management data includes the entry information and time information of the building component.

[0031] Furthermore, the data collection and analysis system for construction project management uses RFID technology and BIM technology to construct a building component engineering model, wherein:

[0032] The BIM technology is implemented by using the basic data of building components collected by RFID technology during data processing. The basic data of building components is processed and the data y entered into the BIM system can be expressed as:

[0033]

[0034] Among them, h is the actual measurement value, x is the completion, t is the sampling time, N is the original data, and n is the completion data;

[0035] The data entered into the BIM system is brought into the BIM system to obtain a building construction engineering model.

[0036] Furthermore, the data collection and analysis system for construction project management pre-processes the basic data of building components, factory management data, and site management data on the building component management platform, and sets initial weights according to the different degrees of impact of the components on project completion, wherein:

[0037] The building component basic data, factory management data, and site management data are normalized and scaled to between (-1, 1), and the influencing factor X is obtained using the Z-score method:

[0038]

[0039] Wherein, δ represents the standard value of the original data, μ represents the mean value of the original data, and x represents the basic data of the building components, the factory management data, and the site management data;

[0040] Initial weights are set for the influencing factors to obtain the construction project score:

[0041]

[0042] Among them, S is the construction project score, X i is the influencing factor, g i is the initial weight of the corresponding influencing factor, and I represents the number of influencing factors.

[0043] Furthermore, the data collection and analysis system for construction project management, the building component analysis model, wherein:

[0044] The construction project score is decomposed into M sub-models based on normal distribution, which are expressed as:

[0045]

[0046] Among them, x is the vector of building component basic data, factory management data, and site management data, a represents the processed weight, and μ represents the mean of the original data.

[0047] Furthermore, the data collection and analysis system for construction project management, the construction optimization iterative algorithm, uses the optimization iterative algorithm to optimize the building construction analysis model to obtain an optimized building construction analysis model, wherein,

[0048] The optimization iterative algorithm is an optimization maximum likelihood theory estimation algorithm;

[0049] The optimized maximum likelihood theory estimation algorithm is to calculate the selection probability density P:

[0050]

[0051] Where k represents the current Gaussian distribution, p(z k =1x) means, P(z k =1) indicates the probability of the current Gaussian distribution being selected, π k represents the mixing coefficient, N(x|μ k ,∑k) means the mean is μ k , the probability density of the Gaussian distribution with covariance ∑k at x;

[0052] The parameter mixing coefficient and mean are calculated based on the selection probability density P.

[0053] Further, the parameter mixing coefficient and mean are calculated according to the selected probability density P;

[0054] Calculate the parameter mixing coefficient π using the selection probability density k :

[0055]

[0056] Calculate the mean μ using the selection probability density k :

[0057]

[0058] The parameter mixing coefficient π k and mean μ k Continue to calculate the probability density until P converges to obtain the optimized building construction analysis model.

[0059] Furthermore, the data collection and analysis system for construction project management uses the optimized building construction analysis model to analyze the newly added factory management data and site entry management data, find out abnormal data, and realize data collection and analysis for construction project management, wherein:

[0060] The newly added factory management data and site entry management data are brought into the optimized building construction analysis model, and a threshold is set. When the model output value differs from the actual value by more than the threshold, it is considered that an abnormality has occurred, thereby realizing data collection and analysis of construction project management.

[0061] The beneficial effects brought about by the technical solution provided by the present invention include at least:

[0062] The present invention uses two-dimensional code technology to mark building components, so that the management platform can realize the control of building construction by identifying the two-dimensional code; uses RFID technology to manage the factory and on-site management data of building construction, and constructs a building component engineering model; builds a building component analysis model; constructs an optimized building construction analysis model, analyzes the newly added factory management data and on-site management data, finds out abnormal data, and realizes data collection and analysis of building engineering management. It can effectively solve the technical problems of low automation of data collection in existing building engineering control systems, insufficient accuracy, no in-depth analysis, and inability to realize engineering control prediction. It is particularly suitable for precise management and in-depth analysis of building engineering control, which is better than existing technical solutions and can meet the requirements of building engineering control production. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0064] Figure 1 It is a flow chart of a data collection and analysis system method for construction project management provided by an embodiment of the present invention;

[0065] Figure 2 A schematic diagram of the front view of an electronic tag provided by an embodiment of the present invention;

[0066] Figure 3 A schematic diagram of an electronic tag provided by an embodiment of the present invention;

[0067] Figure 4 A schematic diagram of a handheld RFID mobile scanning device provided by an embodiment of the present invention;

[0068] Figure 5 A schematic diagram of a fixed RFID scanning device provided by an embodiment of the present invention;

[0069] Figure 6 A flowchart of an optimization iterative algorithm provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0070] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0071] Example

[0072] The present embodiment provides a data collection and analysis system for construction project management, which uses QR code technology to mark building components to obtain basic data of building components, and uploads the basic data of building construction to a building construction management platform. The building construction management platform can realize the control of building construction by identifying the QR code; uses RFID technology to perform factory management of building construction to obtain factory management data, uses RFID technology to perform on-site management of building construction to obtain on-site management data, and uses RFID technology and BIM technology to build a building component engineering model; pre-processes the basic data of building components, factory management data, and on-site management data on the building component management platform, sets initial weights according to the different degrees of influence of components on project completion, and builds a building component analysis model; constructs an optimization iterative algorithm, uses the optimization iterative algorithm to optimize the building construction analysis model to obtain an optimized building construction analysis model, uses the optimized building construction analysis model to analyze the newly added factory management data and on-site management data, finds out abnormal data, and realizes data collection and analysis for construction project management.

[0073] Please refer to Figure 1 As shown in the flowchart of a data collection and analysis system method for construction project management, the method comprises the following steps:

[0074] Step 1:

[0075] On the one hand, the building components are labeled using the QR code technology to obtain the basic data of the building components. The electronic tags in this embodiment should at least include a QR code and a barcode that can be read by a scanner, a mobile phone or other device.

[0076] Please refer to Figure 2 The front view of the electronic tag shown in the figure and Figure 3 Schematic diagram of the electronic tag shown.

[0077] It should be noted that the QR code and barcode on the label should correspond to the same building structure, and the basic data of the building structure should at least include the category, model, manufacturer, price, project number, and component number of the building components.

[0078] It should be noted that the electronic tag should also contain an identifiable chip that can be identified by RFID technology. In this embodiment, the electronic tags we need to select should be reasonably selected according to the design and construction cycle of the engineering components to ensure later identification. Electronic tags should be deployed at key measurement locations in the construction of major buildings. For example, for the main water supply and drainage pipelines, they should be deployed in the middle or at the connection of the pipeline body. In actual projects, they are deployed at the pipeline connection to facilitate later verification.

[0079] On the other hand, in this embodiment, electronic data needs to be collected, summarized and centrally processed, which is called a building component management platform in this embodiment. The building construction management platform should include a data center, a mobile entry terminal, a factory scanning terminal, and an entry scanning terminal.

[0080] It should be noted that the data center should be deployed on a high-performance server. The storage capacity of the high-performance server should be selected according to the amount of building component data in the construction project, and the concurrent task processing performance of the server should be selected according to the analysis time limit requirements and the online scale of users. Since the scale and data volume of the project vary greatly, we choose an online cloud server for data center deployment here. Compared with the traditional data center deployment environment, it has significant advantages. It can rent bandwidth, storage, memory, GPU and other resources on demand. After a large number of calculations in the early stage, the performance requirements of the cloud server can be appropriately reduced. In addition, general cloud servers have realized three backups in two locations, which is safe and reliable, and can also save personnel operation and maintenance costs.

[0081] In this embodiment, Tianyi Cloud host is selected, which is low-cost and can meet deployment requirements.

[0082] It should be noted that the data center is used to collect data uploaded by mobile entry terminals, factory scanning terminals, and entry scanning terminals, analyze the data, and construct analysis models.

[0083] The mobile input terminal is used to collect basic data of building construction. Since mobile operation is required, this embodiment uses a handheld RFID scanning device. Please refer to Figure 4 A schematic diagram of a handheld RFID mobile scanning device is shown.

[0084] The factory scanning terminal should be installed at the outbound location of the building component warehouse to identify the outbound information of the building components. Please refer to Figure 5 As shown in the schematic diagram of a fixed RFID scanning device, since the entry scanning terminal should be installed at the entrance of the construction project to identify the entry information of building components, it should be saturatedly deployed during installation to comprehensively monitor the entry and exit identification of building components.

[0085] Step 2:

[0086] On the one hand, RFID technology is used to manage the building construction before it leaves the factory and obtain the factory management data, and RFID technology is used to manage the building construction before it enters the factory and obtains the entry management data.

[0087] RFID technology can achieve contactless identification of building structures through radio wave signals, and realize the control of building components;

[0088] Factory management data includes building component delivery information and time information.

[0089] Admission management data includes building component admission information and time information.

[0090] It should be noted that the time information here is related to the construction of the building and has a major impact on the control of the construction project. It is the main factor for subsequent analysis and needs to be paid special attention to.

[0091] On the other hand, RFID technology and BIM technology are used to build a building component engineering model. When using BIM technology, the basic data of building components collected by RFID technology is used to process the basic data of building components. The data y entered into the BIM system can be expressed as:

[0092]

[0093] Among them, h is the actual measurement value, x is the completion, t is the sampling time, N is the original data, and n is the completion data;

[0094] Use the data entered into the BIM system to bring it into the BIM system to obtain the building construction project model.

[0095] Step 3:

[0096] On the one hand, the basic data of building components, factory management data, and site management data on the building component management platform are preprocessed, and the initial weights are set according to the different degrees of impact of the components on project completion.

[0097] The basic data of building components, factory management data, and site management data are normalized and scaled to (-1, 1). The Z-score method is used to obtain the influencing factor X:

[0098]

[0099] Among them, δ represents the standard value of the original data, μ represents the mean value of the original data, and x represents the basic data of building components, factory management data, and site management data;

[0100] Set initial weights for the influencing factors and obtain the construction project score:

[0101]

[0102] Among them, S is the construction project score, X i is the influencing factor, g i is the initial weight of the corresponding influencing factor, and I represents the number of influencing factors.

[0103] On the other hand, build an analysis model of building components.

[0104] The construction project score is decomposed into M sub-models based on normal distribution, expressed as:

[0105]

[0106] Among them, x is the vector of building component basic data, factory management data, and site management data, a represents the processed weight, and μ represents the mean of the original data.

[0107] Step 4:

[0108] On the one hand, an optimization iterative algorithm is constructed, and the optimization iterative algorithm is used to optimize the building construction analysis model to obtain an optimized building construction analysis model.

[0109] Please refer to Figure 6 The optimization iterative algorithm flow chart is shown.

[0110] The optimization iterative algorithm is an optimization maximum likelihood theory estimation algorithm.

[0111] The optimized maximum likelihood theory estimation algorithm is to calculate the selection probability density P:

[0112]

[0113] Where k represents the current Gaussian distribution, p(z k =1|x) means, P(z k =1) indicates the probability of the current Gaussian distribution being selected, π k represents the mixing coefficient, N(x|μ k ,∑k) means the mean is μ k , the probability density of the Gaussian distribution with covariance ∑k at x;

[0114] Calculate the parameter mixing coefficient π using the selection probability density k :

[0115]

[0116] Calculate the mean μ using the selection probability density k :

[0117]

[0118] The parameter mixing coefficient π k and mean μ k Continue to calculate the probability density until P converges to obtain the optimized building construction analysis model.

[0119] On the other hand, the optimized building construction analysis model is used to analyze the newly added factory management data and entry management data to find out the abnormal data and realize the data collection and analysis of construction project management.

[0120] New factory management data and on-site management data are introduced into the optimized building construction analysis model, and a threshold is set. When the model output value differs from the actual value by more than the threshold, it is considered an abnormality, thereby realizing data collection and analysis of construction project management.

[0121] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0122] Finally, it should be noted that the above is a preferred embodiment of the present invention. It should be pointed out that although the preferred embodiments of the present invention have been described, for those skilled in the art, once they know the basic creative concept of the present invention, they can make several improvements and modifications without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A data collection and analysis system for construction project management, characterized in that: include: Using QR code technology to mark building components, obtain basic data of building components, and upload the basic data of building construction to a building construction management platform, which can realize the management and control of building construction by identifying the QR code; Use RFID technology to manage the construction of buildings before they leave the factory and obtain the factory management data; use RFID technology to manage the construction of buildings before they enter the factory and obtain the entry management data; use RFID technology and BIM technology to build the engineering model of building components; Pre-process the basic data of building components, factory management data, and site management data on the building component management platform, set initial weights according to the different degrees of impact of components on project completion, and build a building component analysis model; Construct an optimization iterative algorithm, use the optimization iterative algorithm to optimize the building construction analysis model to obtain an optimized building construction analysis model, use the optimized building construction analysis model to analyze the newly added factory management data and entry management data, find out abnormal data, and realize data collection and analysis of construction project management.

2. The data collection and analysis system for construction project management according to claim 1, characterized in that: The two-dimensional code technology is used to mark the building components to obtain the basic data of the building components, wherein: During production of the said building structure, a QR code that can be scanned by a mobile device should be fixed on the main building structure; The QR code should also contain an identifiable chip that can be identified by RFID technology; The basic building construction data should at least include the category, model, manufacturer, price, project number, and component number of the building components.

3. The data collection and analysis system for construction project management according to claim 1, characterized in that: The building construction basic data is uploaded to the building construction management platform, and the building construction management platform can realize the management and control of the building construction by identifying the QR code, wherein: The building construction management platform should include a data center, a mobile entry terminal, a factory scanning terminal, and an entry scanning terminal; The data center should be deployed on a high-performance server. The storage capacity of the high-performance server should be selected according to the amount of building component data in the construction project, and the concurrent task processing performance of the server should be selected according to the analysis time limit requirements and the online scale of users. The data center is used to collect data uploaded by mobile input terminals, factory scanning terminals, and entry scanning terminals, analyze the data, and construct an analysis model; The mobile input terminal is used to collect basic building construction data; The factory scanning terminal should be installed at the outbound location of the building component warehouse to identify the outbound information of the building component; The entry scanning terminal should be installed at the entrance of the construction project to identify the entry information of building components.

4. The data collection and analysis system for construction project management according to claim 1, characterized in that: The RFID technology is used to perform factory management on the building structure to obtain factory management data, and the RFID technology is used to perform entry management on the building structure to obtain entry management data, wherein: The RFID technology can realize contactless identification of building structures through radio wave signals, and realize building component management and control; The factory management data includes the building component delivery information and time information; The entry management data includes the entry information and time information of the building component.

5. The data collection and analysis system for construction project management according to claim 1, characterized in that: The RFID technology and BIM technology are used to construct a building component engineering model, wherein: The BIM technology is implemented by using the basic data of building components collected by RFID technology during data processing. The basic data of building components is processed and the data y entered into the BIM system can be expressed as: Among them, h is the actual measurement value, x is the completion, t is the sampling time, N is the original data, and n is the completion data; The data entered into the BIM system is brought into the BIM system to obtain a building construction engineering model.

6. The data collection and analysis system for construction project management according to claim 1, characterized in that: The basic data of building components, factory management data, and site management data on the building component management platform are preprocessed, and initial weights are set according to the different degrees of impact of the components on project completion, wherein: The building component basic data, factory management data, and site management data are normalized and scaled to between (-1, 1), and the influencing factor X is obtained using the Z-score method: Wherein, δ represents the standard value of the original data, μ represents the mean value of the original data, and x represents the basic data of the building components, the factory management data, and the site management data; Initial weights are set for the influencing factors to obtain the construction project score: Among them, S is the construction project score, X i is the influencing factor, g i is the initial weight of the corresponding influencing factor, and I represents the number of influencing factors.

7. The data collection and analysis system for construction project management as claimed in claim 1, characterized in that: The building component analysis model is constructed, wherein: The construction project score is decomposed into M sub-models based on normal distribution, which can be expressed as: Among them, x is the vector of building component basic data, factory management data, and site management data, a represents the processed weight, and μ represents the mean of the original data.

8. The data collection and analysis system for construction project management as claimed in claim 1, characterized in that: The construction optimization iterative algorithm is used to optimize the building construction analysis model to obtain an optimized building construction analysis model, wherein: The optimization iterative algorithm is an optimization maximum likelihood theory estimation algorithm; The optimized maximum likelihood theory estimation algorithm is to calculate the selection probability density P: Where k represents the current Gaussian distribution, P(z k =1|x) means, P(z k =1) indicates the probability of the current Gaussian distribution being selected, π k represents the mixing coefficient, N(x|μ k ,∑k) means the mean is μ k , the probability density of the Gaussian distribution with covariance ∑k at x; The parameter mixing coefficient and mean are calculated based on the selected probability density P.

9. The method of calculating the parameter mixing coefficient and the mean value according to the selected probability density P as claimed in claim 8, characterized in that: Calculate the parameter mixing coefficient π using the selection probability density k : Calculate the mean μ using the selection probability density k : The parameter mixing coefficient π k and mean μ k Continue to calculate the probability density until P converges to obtain the optimized building construction analysis model.

10. The data collection and analysis system for construction project management according to claim 1, characterized in that: The optimized building construction analysis model is used to analyze the newly added factory management data and site entry management data, find out abnormal data, and realize data collection and analysis of construction project management, wherein: The newly added factory management data and site entry management data are brought into the optimized building construction analysis model, and a threshold is set. When the model output value differs from the actual value by more than the threshold, it is considered that an abnormality has occurred, thereby realizing data collection and analysis of construction project management.

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