Engineering cost data management method based on big data acquisition
By using big data collection methods to capture engineering cost data from multiple angles, divide it into stages, integrate the data, and store it on the blockchain, the problem of low efficiency in engineering cost data management is solved, and efficient and secure data management and retrieval are achieved.
Patent Information
- Application Number
- CN202610000541.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-04
- Publication Date
- 2026-04-17
AI Technical Summary
Existing methods for managing engineering cost data do not take into account classification and hierarchical management, resulting in low management efficiency.
Using a big data acquisition method, BIM building models and building walkthrough animations are created by taking real-time photos of the project from multiple angles. The process involves phase division and data collection, signature verification and data integration, creation of an index table of engineering cost data, and uploading to the blockchain system.
It has improved the accuracy, security, and efficiency of engineering cost data management, enhanced the accuracy of data collection and retrieval precision, and ensured the immutability and traceability of the data.
Smart Images
Figure CN121883049A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of engineering cost technology, and in particular to a method for managing engineering cost data based on big data collection. Background Technology
[0002] Currently, engineering cost, simply put, refers to the construction price of a project. The three elements of engineering cost are: quantity, price, and fees. In a broader sense, engineering cost encompasses construction project costs (civil engineering and installation), highway engineering costs, waterway engineering costs, railway engineering costs, water conservancy engineering costs, power engineering costs, telecommunications engineering costs, aerospace engineering costs, etc. Engineering cost refers to all expenses incurred in the construction of a project. The main tasks of engineering cost estimation are: based on drawings, quotas, and specifications, to calculate the direct costs (labor, materials and equipment, construction machinery usage), enterprise management fees, indirect costs, regulatory fees, profits, and taxes included in the project. Engineering cost data is complex, numerous, and crucial; therefore, the management of engineering cost data is of paramount importance.
[0003] Existing methods for managing engineering cost data refer to establishing and improving a sound file management system, including systems for collection, statistics, confidentiality, and borrowing, and formulating management plans that meet project requirements. However, existing methods for managing engineering cost data do not take into account the classification and hierarchical management of engineering cost data, resulting in low management efficiency and room for improvement. Summary of the Invention
[0004] To improve the efficiency of engineering cost data management, this application provides a method for engineering cost data management based on big data collection.
[0005] This application provides a method for managing engineering cost data based on big data collection, which adopts the following technical solution:
[0006] A method for managing engineering cost data based on big data collection includes the following steps:
[0007] Step S1: Take real-time photos of the project under test from multiple angles to obtain a set of real-time images of the project. Create BIM building models at each time point based on the set of real-time images of the project. Create a walkthrough animation of the building project by taking BIM building models at each time point in chronological order.
[0008] Step S2: Based on the work content of the project to be tested, the project to be tested is divided into stages to obtain the project stage division results. Based on the project stage division results, the stage data information of the project to be tested is determined. Data is collected and signed off based on the stage data information of the project to be tested. After completion, a sign-off and verification completion signal is output. When the sign-off and verification completion signal is received, it is marked and displayed on the building project walkthrough animation.
[0009] Step S3: Collect data information from the stages of the project to be measured and integrate the data to obtain a data set of integrated project cost data. Perform feature encoding on each sub-data of project cost in the integrated project cost data set to obtain multiple data feature codes. Create a data index table of project cost data based on each data feature code.
[0010] Step S4: Perform data mining analysis on the integrated engineering cost data dataset to determine whether there are any risks. If there are any risks, issue an early warning and display the corresponding time in the building engineering walkthrough animation.
[0011] Step S5: Send the engineering cost data index table and the building engineering walkthrough animation to the background monitoring system and upload them to the blockchain system.
[0012] Preferably, the project under test is photographed from multiple angles in real time to obtain multiple multi-angle images of the project under test at different times, and the multi-angle images at corresponding times are fused based on image fusion technology to obtain fused images at each time.
[0013] The fused image information from each moment is combined to form an image set of the architectural project.
[0014] A BIM building model for the corresponding time moment is created based on the fused image information at various times in the image set of the building project;
[0015] By playing BIM building models from different times in chronological order, a walkthrough animation of the building project is obtained.
[0016] Preferably, the project to be tested is divided into stages based on the work content of the project to be tested, and the project stage division results include the investment decision period, design bidding period, construction period and final settlement period;
[0017] The data types to be collected for each stage of the project to be tested are determined based on the project phase division results;
[0018] Based on the project phase division results and the data types collected at each stage of the project under test, the precautions for data collection at each stage of the project under test are determined.
[0019] The data types collected at each stage of the project under test, along with the precautions for data collection at each stage, are combined to form the stage-based data collection information for the project under test.
[0020] Preferably, data is collected and statistically summarized based on the data types collected at each stage of the project under test and the precautions for data collection at each stage of the project under test to obtain a data collection database; the data collection database includes multiple data collection information.
[0021] The system performs signature verification on each piece of collected data in the data database. If the signature verification is successful, a signature verification completion signal is output. If the signature verification fails, the collected data that failed the signature verification is marked as questionable data. The questionable data is corrected until the signature verification is successful and a signature verification completion signal is output.
[0022] Upon receiving the signature verification completion signal, the questionable data information in the collected data database is corrected, and the collected data database is dynamically updated and adjusted.
[0023] The collected data information in the data collection database is time-series aligned with the BIM building model at each moment in the building engineering walkthrough animation. After the alignment is completed, the time-series alignment signal of the collected data is output.
[0024] Upon receiving the timing alignment signal for the collected data, the collected data information from the database will be labeled and displayed on the BIM building model at the corresponding time in the building engineering walkthrough animation.
[0025] Preferably, the engineering cost data classification results are obtained by classifying the data based on the data type of each collected data information in the collected data database; the engineering cost data classification results include paper archives, electronic archives, and special carrier data;
[0026] Paper archives from the engineering cost data classification results are entered into the system terminal to obtain paper data archives;
[0027] The special carrier data in the classification results of engineering cost data is attached to the system terminal to obtain special carrier archive data;
[0028] The data is integrated by combining paper-based data archives, electronic archives, and archives on special media, and sorted according to the data time sequence to obtain an integrated engineering cost data dataset, which includes multiple engineering cost sub-data.
[0029] Preferably, the first segment of coding information is obtained by first encoding the project code and project name of each engineering cost sub-data in the integrated engineering cost data dataset;
[0030] Based on the stage of each engineering cost sub-data in the integrated engineering cost data dataset, a second encoding is performed on each engineering cost sub-data to obtain the second segment of encoding information;
[0031] Based on the data type of each engineering cost sub-data in the integrated engineering cost data dataset, a third encoding is performed on each engineering cost sub-data to obtain the third segment of encoding information;
[0032] Based on the first, second, and third segments of the coding information of each project cost sub-data, a data feature code for each project cost sub-data is created.
[0033] Key words for the document are obtained by extracting keywords from the content of each project cost sub-data.
[0034] Record the storage path and storage time of each project cost sub-data and mark the data storage information;
[0035] Based on the data feature codes, file keywords, and data storage information of each engineering cost sub-data, an engineering cost data index table is compiled, which includes the index content of each engineering cost sub-data.
[0036] Preferably, a threshold dataset of integrated engineering cost data is obtained based on big data technology, wherein the threshold dataset of integrated engineering cost data includes multiple ranges of engineering cost sub-comparison data;
[0037] Each engineering cost sub-data in the integrated engineering cost data dataset is compared with the corresponding engineering cost sub-comparison data range in the integrated engineering cost data threshold dataset. If the engineering cost sub-data is within the corresponding engineering cost sub-comparison data range, then the data is not risky. If the engineering cost sub-data exceeds the corresponding engineering cost sub-comparison data range, then the data is risky, and the engineering cost sub-data is marked as risky data.
[0038] Based on the collection time sequence of risk data, the corresponding time sequence of the BIM building model in the building engineering walkthrough animation is marked and displayed, and the BIM building model corresponding to the time sequence of risk data is marked as a risk building model.
[0039] Preferably, a wireless communication module is acquired and a signal connection link is established between the module and the project under test;
[0040] Based on the wireless communication module, the engineering cost data index table and the building engineering walkthrough animation are sent to the background monitoring system. When the building engineering walkthrough animation is played and displayed in the background monitoring system, the risk data of the risk building model is played and displayed first.
[0041] The project cost data index table and the building project walkthrough animation will be uploaded to the blockchain system.
[0042] In summary, this application includes at least one of the following beneficial technical effects:
[0043] 1. The project to be tested is divided into multiple stages based on its work content, resulting in a stage division. Based on this division, the data types and collection guidelines for each stage are determined, and the data is compiled into a database. Each piece of data in the database is verified and signed off; any discrepancies are corrected. The database is then dynamically updated and adjusted. The data in the database is then time-aligned with the BIM building model at each moment in the architectural walkthrough animation. After alignment, annotations are displayed on the corresponding BIM building model in the walkthrough animation. This improves the accuracy of project cost data collection and management efficiency. Furthermore, the time-alignment between the collected data and the BIM building model further enhances the accuracy of the annotations, thus improving overall project cost data management efficiency.
[0044] 2. By classifying, archiving, and chronologically sorting the collected data in the database, an integrated engineering cost data dataset is obtained. Feature encoding is performed on each sub-data item in the integrated engineering cost data dataset to obtain its data feature code. Data storage information for each sub-data item is recorded. Based on the data feature codes, file keywords, and data storage information of each sub-data item, an engineering cost data index table is compiled. When staff query the engineering cost data of the project under test, they can use the engineering cost data index table for retrieval, improving retrieval speed and accuracy, and further enhancing the efficiency of engineering cost data management.
[0045] 3. By uploading the engineering cost data index table and the building engineering walkthrough animation to the blockchain system for storage, the security, immutability and traceability of the engineering cost data in the project under test are improved, and the management efficiency of engineering cost data is further improved. Attached Figure Description
[0046] Figure 1 This embodiment is a flowchart illustrating the engineering cost data management method based on big data collection. Detailed Implementation
[0047] The present application will be further described in detail below with reference to the accompanying drawings.
[0048] This application discloses a method for managing engineering cost data based on big data collection.
[0049] A method for managing engineering cost data based on big data collection includes the following steps:
[0050] Reference Figure 1Step S1 involves capturing real-time images of the project from multiple angles to obtain a set of on-site images. Based on this image set, BIM building models for each moment are created, and then a chronological walkthrough animation of the building is generated using these BIM building models. Step S1 specifically includes the following sub-steps:
[0051] The project under test is captured in real time from multiple angles to obtain multiple multi-angle images of the project at different times. Based on image fusion technology, the multi-angle images at corresponding times are fused to obtain fused images at each time.
[0052] The images captured at different times are combined to form an image set of the architectural project.
[0053] A BIM building model for the corresponding time moment is created based on the fused image information from various moments in a set of images taken during the construction project.
[0054] By playing BIM building models from different times in chronological order, a walkthrough animation of the building project is obtained.
[0055] Reference Figure 1 Step S2 involves dividing the project under test into stages based on its work content, obtaining stage division results, determining the stage data collection information for each stage based on the stage division results, collecting data based on the stage data collection information, and performing signature verification. Upon completion, a signature verification completion signal is output. When the signature verification completion signal is received, it is marked and displayed on the building engineering walkthrough animation. Step S2 specifically includes the following sub-steps:
[0056] Based on the work content of the project to be tested, the project to be tested is divided into stages to obtain the project stage division results, which include the investment decision period, design bidding period, construction period and final settlement period.
[0057] The data types for each stage of the project to be tested are determined based on the project phase division results.
[0058] Specifically, the data collection types during the investment decision-making period include investment estimation data types, economic evaluation indicator data types, and land cost calculation data types. Among them, the economic evaluation indicator data type refers to the ratio between the internal rate of return and the payback period.
[0059] The data collection types during the design bidding period include architectural design drawings, design budget comparison data, bidding control price data, and bid price list data.
[0060] Data collection types during the construction period include real-time progress report data, engineering change data, progress payment vouchers, and claim / counterclaim document types. Real-time progress report data includes comparisons between completed and budgeted work quantities. The completed work quantities are divided by time units, such as hourly / daily / weekly / monthly / quarterly / yearly, to obtain unit-time progress data. Real-time progress report data also includes comparisons between unit-time progress report data with unit-time budgeted work quantities, which refer to the estimated completed work quantity per hour / day / week / monthly / quarterly / year.
[0061] The data collection types during the final settlement period include final settlement data types and settlement audit comparison data types. The final settlement data type refers to a detailed breakdown of engineering costs / construction costs / other expenses for each item, while the settlement audit comparison data type refers to a record comparing the submitted price with the approved amount.
[0062] Based on the project phase division results and the data types collected at each stage of the project under test, the precautions for data collection at each stage of the project under test are determined.
[0063] Specifically, when the project under test is in the investment decision-making stage, the following precautions should be taken when collecting data: the data source should be collected and labeled. For example, the data source for each data type should be whether it is released by a market research institution or by the government.
[0064] When the project under test is in the design bidding period, the following precautions should be taken when collecting data: It is necessary to retain a record of the comparison between the original drawings before the design change and the revised drawings in the architectural design drawing type.
[0065] When collecting data for a project under test that is in the construction phase, the following precautions should be taken: When collecting data on changes to the project, the reasons for the changes and the basis for the changes should also be collected, along with relevant image attachments.
[0066] When the project under test is in the final settlement period, the following precautions should be taken when collecting data: the original of the concealed works acceptance record and the original of the material price confirmation form should also be collected.
[0067] The data types collected at each stage of the project under test, along with the precautions for data collection at each stage, constitute the phased data collection information for the project under test.
[0068] Step S2 also includes the following sub-steps:
[0069] Based on the data types collected at each stage of the project under test and the precautions for data collection at each stage, data was collected and statistically summarized to form a database of collected data. This database contains multiple sets of collected data.
[0070] The system performs signature verification on each piece of collected data in the database. If the signature verification is successful, a signature verification completion signal is output. If the signature verification fails, the collected data that failed the signature verification is marked as questionable data. The questionable data is corrected until the signature verification is successful and a signature verification completion signal is output.
[0071] Specifically, when the project under test is in the investment decision-making period, the data source of each collected data information needs to be marked. Based on big data technology and the historical data collected by the project under test, the data source of each collected data information is verified. If there is no erroneous data and no erroneous data source marking, the first type of signature verification completion signal is output. If there is erroneous data or erroneous data source marking, the data source is corrected based on big data technology and the historical data collected by the project under test. After the correction is completed, the first type of signature verification completion signal is output.
[0072] When the project under test is in the design bidding period, the comparison record of the original drawing before the design change and the modified drawing in the architectural design drawing type is signed and verified based on the design modification traces in the architectural design drawing type. If there are no error records, the second type of signing and verification completion signal is output. If there are error records, the design modification traces in the architectural design drawing type are corrected. After the correction is completed, the second type of signing and verification completion signal is output.
[0073] When the project under test is under construction, the data type of the project change must be confirmed by the signatures of the supervisor, the owner, and the contractor. The collected signature documents of the three parties need to be checked and confirmed. After the check and confirmation, the collected data information of the project change data type is verified and the third type of signature verification completion signal is output. If there are problems in the three-party signature documents, the signature of the party with the problem is added and the verification is checked and confirmed again. After completion, the third type of signature verification completion signal is output.
[0074] When the project under test is in the final settlement period, the original documents of the concealed works acceptance record and the material price list are signed and verified based on the implementation and construction status of the project under test. If there are no errors, the fourth type of signing and verification completion signal is output. If there are erroneous data, the concealed works verification record or the original document of the material price list is corrected based on the implementation and construction status of the project under test. After the correction is completed, the fourth type of signing and verification completion signal is output.
[0075] The decision to output a signature verification completion signal is based on the current stage of the project under test. For example, if the project under test is currently in the design bidding period, then receiving the first type of signature verification completion signal indicates successful signature verification, and a signature verification completion signal is output. If the project under test is currently in the final settlement period, then receiving the first type of signature verification completion signal, the second type of signature verification completion signal, and the third type of signature verification completion signal indicates successful signature verification, and a signature verification completion signal is output.
[0076] Upon receiving the signature verification completion signal, the questionable data information in the collected data database is corrected, and the collected data database is dynamically updated and adjusted.
[0077] The data information collected from the database is time-series aligned with the BIM building model at each moment in the building engineering walkthrough animation. After alignment, the time-series alignment signal of the collected data is output.
[0078] Upon receiving the timing alignment signal for the collected data, the collected data information from the database will be labeled and displayed on the BIM building model at the corresponding time in the building engineering walkthrough animation.
[0079] In practical applications, the project to be tested is divided into multiple stages based on its work content, resulting in a stage division. Based on this stage division, the data types and collection guidelines for each stage are determined, and the data is then compiled into a data collection database. Each piece of data in the database is verified and signed off; any discrepancies are corrected. The database is then dynamically updated and adjusted. Finally, the data in the database is time-sequentially aligned with the BIM building model at each moment in the architectural walkthrough animation. After alignment, annotations are displayed on the corresponding BIM building model in the walkthrough animation. This process improves the accuracy of project cost data collection and management efficiency. Furthermore, the time-sequential alignment of the collected data with the BIM building model further enhances the accuracy of the data annotations, ultimately improving overall project cost data management efficiency.
[0080] Reference Figure 1 Step S3 involves integrating the data collected from different stages of the project to be measured to obtain a comprehensive engineering cost data dataset. Feature encoding is then performed on each sub-data item related to engineering cost within this dataset to obtain multiple data feature codes. Based on these feature codes, an engineering cost data index table is created. Step S3 specifically includes the following sub-steps:
[0081] The engineering cost data classification results are obtained by classifying the data information collected from the database according to its data type. The classification results include paper archives, electronic archives, and special media data. Special media data refers to photographic / video data, such as photos of the construction site topography and videos of key construction processes.
[0082] Paper archives from the engineering cost data classification results are entered into the system terminal to obtain paper data archives.
[0083] By attaching special carrier data from the classification results of engineering cost data to the system terminal, special carrier archive data can be obtained.
[0084] The data is integrated by combining paper-based data archives, electronic archives, and archives on special media, and sorted according to the data time sequence to obtain the integrated engineering cost data dataset, which includes multiple engineering cost sub-data.
[0085] Step S3 also includes the following sub-steps:
[0086] The first segment of coded information is obtained by first encoding the project codes and project names of each engineering cost sub-data in the integrated engineering cost data dataset.
[0087] Based on the stage of each sub-data item in the integrated engineering cost data set, a second coding is performed on each sub-data item to obtain the second segment of coding information. For example, the second segment of coding information for the investment decision period in the engineering stage division results is 01 [Investment Decision Period], the second segment of coding information for the design bidding period in the engineering stage division results is 02 [Design Bidding Period], the second segment of coding information for the construction period in the engineering stage division results is 03 [Construction Period], and the second segment of coding information for the final settlement period in the engineering stage division results is 04 [Final Settlement Period].
[0088] Based on the data type of each engineering cost sub-data in the integrated engineering cost data dataset, a third encoding is performed on each engineering cost sub-data to obtain the third segment of encoding information. For example, the third segment of encoding information for the investment estimation data type in the investment decision-making period data collection type is 01 [Investment Estimation Data Type]; the third segment of encoding information for the economic evaluation index data type in the investment decision-making period data collection type is 02 [Economic Evaluation Index Data Type]; and the third segment of encoding information for the land cost calculation data type in the investment decision-making period data collection type is 03 [Land Cost Calculation Data Type].
[0089] Based on the first, second, and third segments of the coding information of each project cost sub-data, a data feature code for each project cost sub-data is created.
[0090] Key words for the document are obtained by extracting keywords from the content of each project cost data.
[0091] Record the storage path and storage time of each project cost sub-data and mark it as data storage information.
[0092] Based on the data feature codes, file keywords, and data storage information of each engineering cost sub-data, an engineering cost data index table is compiled, which includes the index content of each engineering cost sub-data.
[0093] In practical applications, by classifying, archiving, and chronologically sorting the collected data in the database, an integrated engineering cost data dataset is obtained. Feature encoding is then performed on each sub-data item of the integrated engineering cost data dataset to obtain its data feature code. The data storage information for each sub-data item is recorded. Based on the data feature codes, file keywords, and data storage information of each sub-data item, an engineering cost data index table is compiled. When staff query the engineering cost data of the project under test, they can use the engineering cost data index table for retrieval, improving retrieval speed and accuracy, thereby enhancing the efficiency of engineering cost data management.
[0094] Reference Figure 1 Step S4 involves data mining analysis of the integrated engineering cost data dataset to determine the existence of risks. If risks are identified, early warnings are issued and displayed at the corresponding moments in the construction project walkthrough animation. Step S4 specifically includes the following sub-steps:
[0095] Based on big data technology, a threshold dataset of integrated engineering cost data is obtained, which includes multiple sub-comparison data ranges of engineering cost.
[0096] The cost sub-data in the integrated cost data dataset is compared with the corresponding cost sub-comparison data range in the integrated cost data threshold dataset. If the cost sub-data falls within the corresponding cost sub-comparison data range, the data is considered risk-free. If the cost sub-data exceeds the corresponding cost sub-comparison data range, the data is considered risky and is marked as risky data.
[0097] Based on the collection timeline of risk data, the corresponding BIM building model in the building engineering walkthrough animation is marked and displayed, and the BIM building model corresponding to the timeline of risk data is marked as a risk building model.
[0098] Reference Figure 1 Step S5 involves sending the project cost data index table and the building project walkthrough animation to the backend monitoring system and uploading them to the blockchain system. Step S5 specifically includes the following sub-steps:
[0099] Obtain the wireless communication module and establish a signal connection link between the wireless communication module and the project under test.
[0100] The project cost data index table and the building project walkthrough animation are sent to the backend monitoring system via a wireless communication module. When the building project walkthrough animation is played and displayed in the backend monitoring system, the risk data of the risk building model is displayed first. It should be noted that, in this embodiment, the wireless communication module refers to a wireless communication module based on Bluetooth technology.
[0101] The project cost data index table and the building project walkthrough animation are uploaded to the blockchain system for storage. In practical applications, uploading the project cost data index table and the building project walkthrough animation to the blockchain system for storage improves the security, immutability, and traceability of the project cost data in the project under test, thereby improving the management efficiency of project cost data.
[0102] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.
Claims
1. A method for managing project cost data based on big data collection, characterized in that, Includes the following steps: Step S1: Take real-time photos of the project under test from multiple angles to obtain a set of real-world images. Create BIM building models at various times based on the real-world images. Create a walkthrough animation of the building project by taking BIM building models at various times in chronological order. Step S2: Based on the work content of the project to be tested, the project to be tested is divided into stages to obtain the project stage division results. Based on the project stage division results, the stage data information of the project to be tested is determined. Data is collected and signed off based on the stage data information of the project to be tested. After completion, a sign-off and verification completion signal is output. When the sign-off and verification completion signal is received, it is marked and displayed on the building project walkthrough animation. Step S3: Collect data information from the stages of the project to be measured and integrate the data to obtain a data set of integrated project cost data. Perform feature encoding on each sub-data of project cost in the integrated project cost data set to obtain multiple data feature codes. Create a data index table of project cost data based on each data feature code. Step S4: Perform data mining analysis on the integrated engineering cost data dataset to determine whether there are any risks. If there are any risks, issue an early warning and display the corresponding time in the building engineering walkthrough animation. Step S5: Send the engineering cost data index table and the building engineering walkthrough animation to the background monitoring system and upload them to the blockchain system.
2. The method according to claim 1, wherein, Step S1 specifically includes: The project under test is captured in real time from multiple angles to obtain multiple multi-angle images of the project under test at different times. Based on image fusion technology, the multi-angle images at corresponding times are fused to obtain the fused image information at each time. The fused image information from each moment is combined to form an image set of the architectural project. A BIM building model for the corresponding time moment is created based on the fused image information at various times in the image set of the building project; By playing BIM building models from different times in chronological order, a walkthrough animation of the building project is obtained.
3. The method for managing engineering cost data based on big data collection according to claim 2, characterized in that, Step S2 specifically includes: Based on the work content of the project to be tested, the project to be tested is divided into stages to obtain the project stage division results, which include the investment decision period, design bidding period, construction period and final settlement period. The data types to be collected for each stage of the project to be tested are determined based on the project phase division results; Based on the project phase division results and the data types collected at each stage of the project under test, the precautions for data collection at each stage of the project under test are determined. The data types collected at each stage of the project under test, along with the precautions for data collection at each stage, are combined to form the stage-based data collection information for the project under test.
4. The method for managing engineering cost data based on big data collection according to claim 3, characterized in that, Step S2 also includes: Data is collected and statistically summarized based on the data types collected at each stage of the project under test and the precautions for data collection at each stage of the project under test to obtain a data collection database; the data collection database includes multiple data collection information. The system performs signature verification on each piece of collected data in the data database. If the signature verification is successful, a signature verification completion signal is output. If the signature verification fails, the collected data that failed the signature verification is marked as questionable data. The questionable data is corrected until the signature verification is successful and a signature verification completion signal is output. Upon receiving the signature verification completion signal, the questionable data information in the collected data database is corrected, and the collected data database is dynamically updated and adjusted. The collected data information in the data collection database is time-series aligned with the BIM building model at each moment in the building engineering walkthrough animation. After the alignment is completed, the time-series alignment signal of the collected data is output. Upon receiving the timing alignment signal for the collected data, the collected data information from the database will be labeled and displayed on the BIM building model at the corresponding time in the building engineering walkthrough animation.
5. The method for managing engineering cost data based on big data collection according to claim 4, characterized in that, Step S3 specifically includes: The engineering cost data classification results are obtained by classifying the data information collected in the database based on the data type; the engineering cost data classification results include paper archives, electronic archives, and special media data; Paper archives from the engineering cost data classification results are entered into the system terminal to obtain paper data archives; The special carrier data in the classification results of engineering cost data is attached to the system terminal to obtain special carrier archive data; The data is integrated from paper-based archives, electronic archives, and archives on special media, and sorted according to the data time sequence to obtain an integrated engineering cost data dataset, which includes multiple engineering cost sub-data.
6. The method for managing engineering cost data based on big data collection according to claim 5, characterized in that, Step S3 also includes: The first segment of coding information is obtained by first coding the project codes and project names of each engineering cost sub-data in the integrated engineering cost data dataset. Based on the stage of each engineering cost sub-data in the integrated engineering cost data dataset, a second encoding is performed on each engineering cost sub-data to obtain the second segment of encoding information; Based on the data type of each engineering cost sub-data in the integrated engineering cost data dataset, a third encoding is performed on each engineering cost sub-data to obtain the third segment of encoding information; Based on the first, second, and third segments of the coding information of each project cost sub-data, a data feature code for each project cost sub-data is created. Key words for the document are obtained by extracting keywords from the content of each project cost sub-data. Record the storage path and storage time of each project cost sub-data and mark the data storage information; Based on the data feature codes, file keywords, and data storage information of each engineering cost sub-data, an engineering cost data index table is compiled, which includes the index content of each engineering cost sub-data.
7. The method for managing engineering cost data based on big data collection according to claim 6, characterized in that, Step S4 specifically includes: Based on big data technology, a threshold dataset of integrated engineering cost data is obtained, which includes multiple sub-comparison data ranges of engineering cost. Each engineering cost sub-data in the integrated engineering cost data dataset is compared with the corresponding engineering cost sub-comparison data range in the integrated engineering cost data threshold dataset. If the engineering cost sub-data is within the corresponding engineering cost sub-comparison data range, then the data is not risky. If the engineering cost sub-data exceeds the corresponding engineering cost sub-comparison data range, then the data is risky, and the engineering cost sub-data is marked as risky data. Based on the collection time sequence of risk data, the corresponding time sequence of the BIM building model in the building engineering walkthrough animation is marked and displayed, and the BIM building model corresponding to the time sequence of risk data is marked as a risk building model.
8. The method for managing engineering cost data based on big data collection according to claim 7, characterized in that, Step S5 specifically includes: Acquire the wireless communication module and establish a signal connection link with the project under test; Based on the wireless communication module, the engineering cost data index table and the building engineering walkthrough animation are sent to the background monitoring system. When the building engineering walkthrough animation is played and displayed in the background monitoring system, the risk data of the risk building model is played and displayed first. The project cost data index table and the building project walkthrough animation will be uploaded to the blockchain system.