CN116756832A - An engineering cost control system and method based on BIM technology - Google Patents

Abstract

The invention provides a construction cost management and control system and method based on BIM technology, comprising a construction management and control module, a construction management and control module and a construction management and control module, wherein the construction management and control module is used for acquiring actual construction information; the BIM model building module builds a 5DBIM prediction model according to the input preset cost information; the information matching module performs matching operation on the construction information and the 5DBIM prediction model to obtain a 5DBIM real model and a BIM prediction model at the non-construction stage; the prediction updating module updates the BIM prediction model at the non-construction stage by adopting a BP neural network through the 5DBIM real model; the dynamic management module obtains model matching degree information according to the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model at the non-construction stage; the maintenance management module receives the 5DBIM real model according to the model matching degree information, and formulates a maintenance period and analyzes maintenance cost.

Description

An engineering cost control system and method based on BIM technology

Technical field

The present invention relates to the field of engineering cost technology, specifically an engineering cost management and control system and method based on BIM technology.

Background technique

BIM technology is a data management tool used in engineering construction. Through the integration of data and information models of buildings, it is shared and transferred during the actual project planning, operation and maintenance process. The core of BIM is to establish virtual The three-dimensional model of the construction project uses digital technology to largely adopt BIM technology in existing project construction. However, as the technology improves, the storage and calculation of information also increase. For the preset BIM prediction model There is a discrepancy with the engineering consumption in actual construction, which may cause unnecessary waste of resources. Therefore, both the construction unit and the designer must optimize the management of engineering construction to improve construction efficiency and quality. Therefore, building a building based on BIM technology An effective management system is very necessary to optimize the management and control of the project while ensuring information security, obtain construction site information in real time, and perform model updates and management efficiently and dynamically.

Contents of the invention

The purpose of the present invention is to provide an engineering cost control system and method based on BIM technology, provide a safe information management platform for engineering projects, and monitor and optimize the operation and consumption of the project in real time to achieve full-cycle management optimization.

The present invention provides an engineering cost control system based on BIM technology, which includes:

Construction control module, used to obtain actual construction information;

The BIM model building module is used to build a 5DBIM prediction model based on the input scheduled cost information;

The information matching module is used to match the construction information with the 5DBIM prediction model to obtain the 5DBIM real model and the BIM prediction model in the unconstruction stage;

The prediction update module is used to update the BIM prediction model in the unconstruction stage using the BP neural network through the 5DBIM real model;

The dynamic management module is used to obtain model matching information based on the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage;

A maintenance management module, used to receive the 5DBIM real model based on the model matching information, and formulate maintenance cycles and analyze maintenance costs;

An encryption module is used to perform dynamic key encryption on the project cost control system.

Preferably, the construction management and control module includes:

Information collection unit, used to obtain cost information and time cycle information on the construction site;

The information filtering unit is used to effectively verify the cost information and time period information, and filter the interference information to obtain actual construction information.

Preferably, the BIM model building modules include:

A data input unit is used to receive scheduled cost information input by the user;

The data screening unit is used to filter the scheduled cost information through the keyword filtering algorithm and the matching unit algorithm to filter out the effective scheduled cost information;

The model building unit is used to build the 5DBIM prediction model through the collaborative construction method based on the effective scheduled cost information.

Preferably, the information matching module includes:

Classification unit, used to classify the construction information to obtain time information, cost information, and 3D model information respectively;

A matching unit is used to perform a matching operation on the time information, cost information, 3D model information and the 5DBIM prediction model according to the hybrid recommendation algorithm to obtain the 5DBIM real model and the BIM prediction model in the unconstruction stage.

Preferably, the matching unit includes:

The first computing module is used to match the time information, cost information, and 3D model information with the 5DBIM prediction model according to the hybrid recommendation algorithm to obtain the 5DBIM real model;

The second computing module is used to obtain the BIM prediction model in the unconstruction stage using a hybrid recommendation algorithm based on the 5DBIM real model and the 5DBIM prediction model.

Preferably, the prediction update module is also used to set a similarity threshold, and the prediction update module further includes:

A similarity analysis unit, used to analyze the similarity between the 5DBIM real model and the 5DBIM prediction model to obtain similarity information;

A model comparison unit, configured to compare the similarity information with the similarity threshold to obtain a 5DBIM real model that meets the similarity threshold;

The model update unit is used to use the BP neural network to update the BIM prediction model in the unconstruction stage using the 5DBIM real model that meets the similarity threshold.

Preferably, the dynamic management module includes:

A geometric center point calculation unit used to calculate the geometric center points of the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage;

A center point projection unit is used to project the geometric center point of the 5DBIM real model and the unconstruction stage BIM prediction model to the geometric center point of the 5DBIM prediction model to obtain first model matching degree information and second model matching degree information.

Preferably, the maintenance management module includes:

A maintenance unit, configured to receive the 5DBIM real model according to the first model matching information, and formulate maintenance cycles and analyze maintenance costs;

A prompt unit, configured to generate a prompt message according to the second model matching degree information, and generate a solution.

It also includes an engineering cost control method based on BIM technology, including the following steps:

Step 1: Obtain actual construction information and scheduled cost information;

Step 2: Screen the scheduled cost information through the keyword filtering algorithm and the matching unit algorithm, and build a 5DBIM prediction model based on the filtered scheduled cost information;

Step 3: Match the construction information and the 5DBIM prediction model through a hybrid recommendation algorithm to obtain the 5DBIM real model and the BIM prediction model in the unconstruction stage;

Step 4: Use BP neural network to update the BIM prediction model in the unconstruction stage based on the 5DBIM real model;

Step 5: Calculate the geometric center points of the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage, and obtain model matching information based on the geometric center points of the BIM prediction model;

Step 6: Receive the 5DBIM real model based on the model matching information, and formulate maintenance cycles and analyze maintenance costs.

Preferably, the step 4 includes using the Levenberg-Marquardt algorithm for the 5DBIM real model, and updating the BIM prediction model in the unconstruction stage through the 5DBIM prediction model.

The invention discloses the following technical effects:

The present invention proposes a project cost management and control system and method based on BIM technology. Firstly, this solution can provide a safe management environment for the project project, and an encryption program is provided for the entire system. Secondly, this solution can carry out inspection on some completed projects. View and calculate project construction information in real time. At the same time, the expected construction plan can be predicted based on the completed construction information, and the BIM prediction model can be updated and optimized in real time to provide a reference basis for subsequent engineering projects. Different maintenance can also be specified for later projects. Maintenance plan, and the specific calculation process used in the plan ensures the efficiency of information management.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some of the drawings of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without exerting creative efforts.

Figure 1 is a schematic diagram of the system structure of an embodiment of the present invention;

Figure 2 is a flow chart of the steps and methods of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without exerting creative efforts fall within the scope of protection of the present invention.

Embodiment 1

Referring to Figure 1, the present invention provides an engineering cost control system based on BIM technology, which is characterized by including:

The construction management and control module is used to obtain actual construction information. The construction management and control module specifically includes: an information collection unit, which is used to obtain cost information and time period information on the construction site. The cost information includes actual material consumption data on the construction site and actual work of construction personnel. Arrangement information, selected material information, price information of purchased materials, 3D model information and other actual power consumption information; and the time period includes the specific completion period of each phase of the project, the specific cycle time period, etc.;

The information filtering unit is used to effectively verify the cost information and time period information, and filter the interference information to obtain the actual construction information. The actual material consumption data of the construction site, the actual work arrangement information of the construction personnel, and the selected Material information, price information of purchased materials, completion cycle of each phase of the project, specific cycle time period and other information are intelligently screened to avoid unreasonable data input. For example, only 5 tons of cement can be selected for this project, but due to the data Acquire 50 tons of cement data with errors, and filter obviously unreasonable data. If unreasonable data appears, re-obtain construction information until the data is reasonable;

The BIM model building module is used to build a 5DBIM prediction model based on the input scheduled cost information. The BIM model building module specifically includes:

The data input unit is used to receive the scheduled cost information input by the user. The scheduled cost information input by the user includes predicted cost information and predicted time period information, specifically including predicted material consumption information, predicted construction personnel arrangement information, and scheduled selection information. Material information and estimated completion period, etc.

The data filtering unit is used to filter the scheduled cost information through the keyword filtering algorithm and the matching unit algorithm to filter out the effective scheduled cost information, and can call historical project construction information; the data filtering unit is the same as the information filtering unit, which will filter out unreasonable information. At the same time, through the keyword filtering algorithm, through the keywords in the input scheduled cost information, information matching the construction project is extracted, and the matching information is filtered using the matching unit algorithm and historical project construction information to obtain further optimized scheduled cost information;

The model building unit is used to build the 5DBIM prediction model based on the effective scheduled cost information through the collaborative construction method. Since model construction requires long man-hours and large data operations, the collaborative construction method divides the effective scheduled cost information into stages or assigns it to different Personnel build 5DBIM prediction models respectively, comprehensively compare the construction results of different stages or the construction results of different personnel, and select the best 5DBIM prediction model. The specific construction method is completed using Fuzor software;

The information matching module is used to match the construction information with the 5DBIM prediction model to obtain the 5DBIM real model and the BIM prediction model in the unconstruction stage. The information matching module includes:

Classification unit, used to classify the construction information to obtain time information, cost information, and 3D model information respectively;

The matching unit is used to match the time information, cost information, and 3D model information with the 5DBIM prediction model according to the hybrid recommendation algorithm to obtain the 5DBIM real model and the unconstruction stage BIM prediction model, and combine the time information, cost information, The 3D model information constructs a 5DBIM model based on the actual project data, and then uses a hybrid recommendation algorithm to perform matching and adjustment analysis with the constructed 5DBIM prediction model. If the difference between the actually constructed 5DBIM model and the 5DBIM prediction model meets the actual project requirements, the results will be obtained after completion. If the actual 5DBIM real model and the BIM prediction model in the unconstruction stage do not meet the actual engineering requirements, the actual 5DBIM model will be iteratively constructed. If the number of cycles exceeds five, it will return to the construction control module and the entire system will be recalculated;

The prediction update module is used to update the BIM prediction model in the unconstruction stage through the 5DBIM real model using the BP neural network; it is also used to set a similarity threshold in advance based on the actual project cost information and time period information to verify the accuracy of the 5DBIM real model again. The credibility,prediction update module also includes:

The similarity analysis unit is used to analyze the similarity between the 5DBIM real model and the 5DBIM prediction model to obtain similarity information;

The model comparison unit is used to compare the similarity information with the similarity threshold to obtain a 5DBIM real model that meets the similarity threshold. If there is similarity information that does not meet the threshold, the entire system will be recalculated and returned to the construction management and control module. Retrieve construction information;

The model update unit is used to use the BP neural network to update the BIM prediction model in the unconstruction stage using the 5DBIM real model that meets the similarity threshold. The 5DBIM real model is input into the BP neural network to obtain a new 5DBIM prediction model. The 5DBIM real model is combined with the newly obtained 5DBIM. The prediction model finally updates the BIM prediction model in the non-construction stage to obtain the latest predicted 5DBIM prediction model in the non-construction stage. This method can ensure that the non-construction information is updated according to the construction progress at any time, and can continuously optimize the BIM prediction model until construction. Finish;

The dynamic management module is used to obtain model matching information based on the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage; the dynamic management module includes:

The geometric center point calculation unit is used to calculate the geometric center point of the 5DBIM prediction model, 5DBIM real model and the BIM prediction model in the non-construction stage through the 3DStudioMax software; the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the non-construction stage all belong to the entire construction It is a complete BIM model, but the focus of the model is on the construction of the overall prediction model, the construction of the model after real construction and the prediction of the unconstructed model; therefore, the geometric center point of the 3D model involved also has very slight deviations;

A center point projection unit, used to project the geometric center point of the 5DBIM real model and the unconstruction stage BIM prediction model to the geometric center point of the 5DBIM prediction model to obtain the first model matching degree information, and the matching degree is the second model matching degree. Information, the first model matching degree information matching degree needs to be greater than 98%, and the second matching degree information must be less than or equal to 98%;

The maintenance management module is used to receive the 5DBIM real model based on the model matching information, and formulate maintenance cycles and analyze maintenance costs,

The maintenance management module includes: a maintenance unit, which is used to receive the 5DBIM real model based on the first model matching information, and formulate maintenance cycles and analyze maintenance costs. It can only receive the completed 5DBIM real model, because the 5DBIM real model contains the 3D of the building structure. The model covers timeline information and cost axis information, and needs to provide subsequent maintenance plans accordingly. The maintenance cycles formulated separately can be divided into three stages. Maintenance costs are also developed separately according to different projects and the required maintenance fees are calculated;

The prompting unit is used to generate a prompt message based on the second model matching degree information, and generate a solution. Different solutions are formulated in advance, and the historical project database is called according to the different matching degree information to find out the solution at that time. For current project use, if there is no historical data, no plan will be generated, only visual prompts will be provided;

The encryption module is used to encrypt the dynamic secret key of the project cost control system. The encryption module encrypts the construction control module and BIM model building module respectively. Only authenticated users can enter and collect data. Other unverified information cannot be used. Unable to input; the information matching module _, prediction update module _, dynamic management module _{, and} maintenance management module are all encrypted.

Embodiment 2

As shown in Figure 2, this embodiment also provides an engineering cost control method based on BIM technology, which includes the following steps:

Step 1: Obtain actual construction information and scheduled cost information. Construction information and scheduled cost information include actual material consumption data at the construction site, actual work arrangement information of construction personnel, selected material information, price information of purchased materials, 3D model information, The completion cycle of each phase of the project, the specific cycle time period, etc., and at the same time filter the obviously unreasonable data;

Step 2: Screen the scheduled cost information through the keyword filtering algorithm and the matching unit algorithm, and build a 5DBIM prediction model based on the filtered scheduled cost information. First, receive the scheduled cost information input by the user. The scheduled cost information input by the user contains the predicted Cost information and predicted time period information, specifically including predicted material consumption information, predicted construction personnel arrangement information, scheduled material information and expected completion period, etc. This step can also be the same as step 1 to filter obviously unreasonable data. Secondly Through the keyword filtering algorithm, information matching the construction project is extracted through the keywords in the input scheduled cost information, and the matching information is filtered using the matching unit algorithm and historical project construction information to obtain further optimized scheduled cost information;

It is used to build the 5DBIM prediction model based on the effective scheduled cost information through the collaborative construction method. The collaborative construction method divides the effective scheduled cost information into stages or assigns it to different personnel to build the 5DBIM prediction model respectively, and combines the construction results of different stages or the construction of different personnel. The results are comprehensively compared to select the best 5DBIM prediction model. Fuzor software is used to build the model specifically;

Step 3: Match the construction information and the 5DBIM prediction model through a hybrid recommendation algorithm to obtain the 5DBIM real model and the BIM prediction model in the unconstruction stage. First, the construction information needs to be classified to obtain time information, cost information, and 3D model information respectively. , time information, cost information, and 3D model information are used to construct a 5DBIM model based on actual work data, and then a hybrid recommendation algorithm is used to perform matching adjustment analysis with the constructed 5DBIM prediction model. The difference between the actually constructed 5DBIM model and the 5DBIM prediction model is consistent The actual engineering requirements are obtained by the actual 5DBIM real model after completion and the BIM prediction model in the unconstruction stage. If it does not meet the actual engineering requirements, the actual 5DBIM model will be iteratively constructed. If the number of cycles exceeds five, it will return to the construction management and control module. Overall The system recalculates, and due to the large amount of calculations, it is necessary to control the limited number of iterations;

Step 4: Use BP neural network to update the BIM prediction model in the unconstruction stage based on the 5DBIM real model, set a similarity threshold in advance based on the actual project cost information and time period information, and verify the credibility of the 5DBIM real model again. Analyze the similarity between the 5DBIM real model and the 5DBIM prediction model to obtain similarity information. Compare the similarity information with the similarity threshold to obtain the 5DBIM real model that meets the similarity threshold. If there is similarity information that does not meet the threshold, the entire system will be reset. operation, return to the construction management and control module to re-obtain construction information, and use the BP neural network to update the BIM prediction model in the unconstruction stage using the 5DBIM real model that meets the similarity threshold. The specific method includes inputting the 5DBIM real model into the BP neural network to obtain a new 5DBIM prediction model. , the 5DBIM real model is combined with the newly obtained 5DBIM prediction model, and the Levenberg-Marquardt algorithm is used to update the BIM prediction model in the unconstruction stage. Finally, the BIM prediction model in the unconstruction stage is updated to obtain the latest predicted unconstruction The 5DBIM prediction model of the stage, this method can ensure that the unconstruction information is updated according to the construction progress at any time, and the BIM prediction model can be continuously optimized until the construction is completed;

Step 5: Based on the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage, calculate the geometric center points of the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage through 3DStudioMax software, among which the 5DBIM prediction model, the 5DBIM real model Both the BIM prediction model and the unconstruction stage BIM prediction model are complete BIM models in the entire construction, but the focus of the model is respectively on the construction of the overall prediction model, the construction of the model after real construction and the prediction of the unconstruction model; therefore, the 3D models involved are The geometric center point is also a very slight deviation;

According to the geometric center point of the 5DBIM real model and the BIM prediction model in the unconstruction stage, the geometric center point of the 5DBIM prediction model is projected to obtain the first model matching degree information, the matching degree, the second model matching degree information, and the first model matching degree information. The degree needs to be greater than 98%, and the second matching degree information is less than or equal to 98%, or the first model matching degree information needs to be greater than 99%, and the second matching degree information is less than or equal to Ninety-nine percent, because the deviations in model construction need to be very precise, so the required accuracy is relatively high;

Step 6: Receive the 5DBIM real model based on the model matching information, and formulate the maintenance cycle and analyze the maintenance cost. Among them, receive the 5DBIM real model based on the first model matching information, and formulate the maintenance cycle and analyze the maintenance cost. Only the completed model can be received. 5DBIM real model. Since the 5DBIM real model contains a 3D model of the building structure, covering timeline information and cost axis information, a later maintenance plan needs to be provided accordingly. The separately formulated maintenance cycle can be divided into three stages. The maintenance cost is also based on different projects. Develop maintenance plans and calculate required maintenance costs respectively;

Generate a prompt message based on the second model matching information and generate a solution. Different solutions are formulated in advance. The historical project database is called based on the different matching information to find out the solution at that time and be used for the current phase of the project. If the historical If there is no data, no plan will be generated, only visual prompts will be provided;

The entire system is also equipped with an encryption process to ensure the privacy of the entire management process. User authentication is required during data acquisition. During model construction and dynamic management, it also needs to be processed under encryption and finally visualized. Operations also require user key authentication.

Embodiment 3

This embodiment is an engineering cost management and control method based on BIM technology for the cost management process of a certain engineering project. The specific implementation includes the following steps:

The actual construction information is obtained through security certification through the on-site sensor equipment and the client input terminal. The designer inputs the scheduled cost information into the project cost control system, including the actual material consumption data at the construction site, the actual work arrangement information of the construction personnel, and the selected Material information, price information of purchased materials, 3D model information, completion cycle of each phase of the project, specific cycle time period, etc., and filter the obtained information first, and delete or modify unreasonable data into reasonable data information;

First, receive the scheduled cost information input by the user, including predicted material consumption information, predicted construction personnel arrangement information, scheduled selected material information, and expected completion period, etc. This step can also be the same as step 1 to filter obviously unreasonable data. Secondly, After the keyword filtering algorithm, through the keywords in the input scheduled cost information, information matching the construction project is extracted, such as steel model materials, cement materials, wood materials, prices of the above materials, and phased project forecasts Complete the cycle, and use the matching unit algorithm to filter the matching information with historical project construction information to obtain further optimized scheduled cost information, which is equivalent to optimizing the forecast information;

It is used to build the 5DBIM prediction model based on the effective scheduled cost information through the collaborative construction method. The collaborative construction method divides the effective scheduled cost information into stages or assigns it to different personnel to build the 5DBIM prediction model respectively, and combines the construction results of different stages or the construction of different personnel. After comprehensive comparison of the results, five designers were selected to build the model for this implementation, and an optimal 5DBIM prediction model was finally selected. The specific model construction was completed using Fuzor software, and other software can be used, but it is necessary to ensure that the construction information is compatible;

Classify the construction information to obtain time information, cost information, and 3D model information respectively. Use the time information, cost information, and 3D model information to build a 5DBIM model based on actual construction data, and then use a hybrid recommendation algorithm and the constructed 5DBIM prediction model Matching adjustment analysis is performed. If the difference between the actually constructed 5DBIM model and the 5DBIM prediction model meets the actual engineering requirements, the actual 5DBIM real model after completion and the BIM prediction model in the unconstruction stage are obtained respectively. This time it does not meet the actual engineering requirements. It only needs to be iterated twice. Obtain a BIM model that meets actual engineering needs;

Based on the 5DBIM real model, BP neural network is used to update the BIM prediction model in the unconstruction stage, and a similarity threshold is set in advance according to the actual situation of the project cost information and time period information to once again verify the credibility of the 5DBIM real model and analyze the 5DBIM real model. The similarity between the model and the 5DBIM prediction model is used to obtain similarity information. The similarity information is compared with the similarity threshold to obtain a 5DBIM real model that meets the similarity threshold. The 5DBIM real model that meets the similarity threshold is obtained. The BP neural network is used to update the unconstructed Stage BIM prediction model. The specific method includes inputting the 5DBIM real model into the BP neural network to obtain a new 5DBIM prediction model. The 5DBIM real model is combined with the newly obtained 5DBIM prediction model, and the Levenberg-Marquardt algorithm is used to update the future prediction model. BIM prediction model during construction phase;

Based on the 5DBIM prediction model, 5DBIM real model and the BIM prediction model in the unconstruction stage, 3DStudioMax software was used to calculate the three geometric center points of the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage. According to the 5DBIM real model and the BIM in the unconstruction stage Project the geometric center point of the prediction model to the geometric center point of the 5DBIM prediction model to obtain the first model matching degree information, and the matching degree second model matching degree information. The model matching degree information of this solution is 99.5%;

Since the matching degree is above 98%, we received the 5DBIM real model, formulated the maintenance cycle and analyzed the maintenance cost. The maintenance cycle formulated was divided into three stages. The first stage was carried out every three months within one year. After an inspection, if there is a problem, feedback and repair it in a timely manner, analyze the maintenance cost, first formulate a maintenance plan, calculate the materials and prices required for maintenance, generate a budget price, and visually display it to remind the user.

The above-described embodiments only describe the preferred modes of the present invention and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, those of ordinary skill in the art can make various modifications to the technical solutions of the present invention. All deformations and improvements shall fall within the protection scope determined by the claims of the present invention.

Claims (10)

1. An engineering cost control system based on BIM technology, which is characterized by including: Construction control module, used to obtain actual construction information; The BIM model building module is used to build a 5DBIM prediction model based on the input scheduled cost information; The information matching module is used to match the construction information with the 5DBIM prediction model to obtain the 5DBIM real model and the BIM prediction model in the unconstruction stage; The prediction update module is used to update the BIM prediction model in the unconstruction stage using the BP neural network through the 5DBIM real model; The dynamic management module is used to obtain model matching information based on the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage; A maintenance management module, used to receive the 5DBIM real model based on the model matching information, and formulate maintenance cycles and analyze maintenance costs; An encryption module is used to perform dynamic key encryption on the project cost control system. 2. The engineering cost control system based on BIM technology according to claim 1, characterized in that the construction control module includes: Information collection unit, used to obtain cost information and time cycle information on the construction site; The information filtering unit is used to effectively verify the cost information and time period information, and filter the interference information to obtain actual construction information. 3. The engineering cost control system based on BIM technology according to claim 1, characterized in that the BIM model building module includes: A data input unit is used to receive scheduled cost information input by the user; The data screening unit is used to filter the scheduled cost information through the keyword filtering algorithm and the matching unit algorithm to filter out the effective scheduled cost information; The model building unit is used to build the 5DBIM prediction model through the collaborative construction method based on the effective scheduled cost information. 4. The engineering cost control system based on BIM technology according to claim 1, characterized in that the information matching module includes: Classification unit, used to classify the construction information to obtain time information, cost information, and 3D model information respectively; A matching unit is used to perform a matching operation on the time information, cost information, 3D model information and the 5DBIM prediction model according to the hybrid recommendation algorithm to obtain the 5DBIM real model and the BIM prediction model in the unconstruction stage. 5. The engineering cost control system based on BIM technology according to claim 4, characterized in that the matching unit includes: The first computing module is used to match the time information, cost information, and 3D model information with the 5DBIM prediction model according to the hybrid recommendation algorithm to obtain the 5DBIM real model; The second computing module is used to obtain the BIM prediction model in the unconstruction stage using a hybrid recommendation algorithm based on the 5DBIM real model and the 5DBIM prediction model. 6. The engineering cost control system based on BIM technology according to claim 1, characterized in that the prediction update module is also used to set a similarity threshold, and the prediction update module further includes: A similarity analysis unit, used to analyze the similarity between the 5DBIM real model and the 5DBIM prediction model to obtain similarity information; A model comparison unit, configured to compare the similarity information with the similarity threshold to obtain a 5DBIM real model that meets the similarity threshold; The model update unit is used to use the BP neural network to update the BIM prediction model in the unconstruction stage using the 5DBIM real model that meets the similarity threshold. 7. The engineering cost control system based on BIM technology according to claim 6, characterized in that the dynamic management module includes: A geometric center point calculation unit used to calculate the geometric center points of the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage; A center point projection unit is used to project the geometric center point of the 5DBIM real model and the unconstruction stage BIM prediction model to the geometric center point of the 5DBIM prediction model to obtain first model matching degree information and second model matching degree information. 8. The engineering cost control system based on BIM technology according to claim 7, characterized in that the maintenance management module includes: A maintenance unit, configured to receive the 5DBIM real model according to the first model matching information, and formulate maintenance cycles and analyze maintenance costs; A prompt unit, configured to generate a prompt message according to the second model matching degree information, and generate a solution. 9. An engineering cost control method based on BIM technology, which is characterized by including the following steps: Step 1: Obtain actual construction information and scheduled cost information; Step 2: Screen the scheduled cost information through the keyword filtering algorithm and the matching unit algorithm, and build a 5DBIM prediction model based on the filtered scheduled cost information; Step 3: Match the construction information and the 5DBIM prediction model through a hybrid recommendation algorithm to obtain the 5DBIM real model and the BIM prediction model in the unconstruction stage; Step 4: Use BP neural network to update the BIM prediction model in the unconstruction stage based on the 5DBIM real model; Step 5: Calculate the geometric center point of the BIM prediction model of the 5DBIM prediction model, the 5DBIM real model and the BIM prediction model in the unconstruction stage, and obtain the model matching degree information based on the geometric center point of the BIM prediction model; Step 6: Receive the 5DBIM real model based on the model matching information, and formulate maintenance cycles and analyze maintenance costs. 10. The engineering cost control method based on BIM technology according to claim 9, characterized in that the step 4 includes using the Levenberg-Marquardt algorithm for the 5DBIM real model. 5DBIM prediction model updates the BIM prediction model in the unconstruction stage.