Panoramic visualization technology-combined capital construction project tracing management method and system

Abstract

The invention discloses an infrastructure project traceability management method and system combined with a panoramic visualization technology, and relates to the field of infrastructure project traceability management, and the method comprises the steps: making an infrastructure project scheme and plan according to the infrastructure project requirements; establishing a traceability list and a progress card punching record of each link of the capital construction project; based on a BP neural network algorithm, establishing an infrastructure project progress model, and predicting whether the infrastructure project can reach an expected result; and according to the capital construction project progress model, in combination with a CAD three-dimensional panoramic visualization technology, establishing a capital construction project tracing management platform, and simulating the progress condition of the capital construction project by adjusting the input parameter matrix. The method has the advantages that the difference between the actual progress and the predicted progress of each link of the capital construction project is obtained, and whether the capital construction project can reach the expected result or not is predicted through the BP neural network algorithm, so that the capital construction project can be implemented and traced more efficiently and accurately.

Description

Technical Field

[0001] The present invention relates to the field of infrastructure project traceability management, and in particular to an infrastructure project traceability management method and system combining panoramic visualization technology. Background Art

[0002] The safe and stable operation of infrastructure projects is an important guarantee for the quality of infrastructure. However, the implementation of infrastructure projects involves decision-making, planning, design, construction, supervision, and the traceability process, division of responsibilities, time nodes and other aspects of each link of infrastructure projects. It is a complex and long-term implementation process. Ensuring the safe and stable operation of infrastructure projects and improving the traceability management of infrastructure projects are very important for monitoring the safety of infrastructure projects, timely discovering and eliminating safety hazards, preventing safety accidents, improving resource utilization efficiency, and enhancing project transparency. With the development of the information age, digital and intelligent technologies are brought into the traceability management of infrastructure projects. Through the joint efforts of technologies such as big data, the Internet of Things and machine learning and various links of infrastructure projects, a panoramic visualization technology for the traceability management of infrastructure projects is created to present scenes in the real world to users in a 360-degree panoramic way, so that infrastructure projects can be implemented and traced more efficiently and accurately.

[0003] Strict traceability management of infrastructure projects can ensure standardization and transparency of infrastructure projects during construction. By monitoring the progress of each link of infrastructure projects, timely discovering and tracing problems in abnormal links, and making timely processing and adjustments, it will help the safe and smooth operation of infrastructure projects. Existing technologies mainly focus on creating 360-degree panoramic visualization. For example, the BIM model is an advanced digital tool often used in the management of existing infrastructure projects. It has the advantages of visualization, integration, parameterization, simulation, coordination, optimization, plotting, and information completeness. However, the model relies on data sources such as CAD files or design files. If these data sources have quality problems or do not conform to the actual situation, it will lead to poor data quality in the model drawing process, thereby affecting the quality of the final model. In the traceability management of infrastructure projects and the refined management of the progress of each link of infrastructure projects, there is a lack of refined analysis and prediction, which leads to large deviations in the model in the long term. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for infrastructure project traceability management combined with panoramic visualization technology are provided. This technical solution solves the problem proposed in the above background technology, but the model relies on data sources such as CAD files or design files. If these data sources have quality problems or do not conform to the actual situation, it will lead to poor data quality in the model drawing process, thereby affecting the quality of the final model. Moreover, there is a lack of detailed analysis and prediction in the traceability management of infrastructure projects and the refined management of the progress of each link of infrastructure projects, which leads to large deviations in the model in the long-term process.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for tracing and managing infrastructure projects in combination with panoramic visualization technology, characterized by comprising:

[0007] Formulate infrastructure project plans and programs according to the requirements of infrastructure projects;

[0008] According to the preliminary infrastructure project plan and schedule, establish a traceability responsibility list and progress check-in record for each link of the infrastructure project;

[0009] According to the actual progress of each link of the infrastructure project, the infrastructure project progress model is established based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected results;

[0010] According to the progress model of infrastructure projects, combined with CAD three-dimensional panoramic visualization technology, an infrastructure project traceability management platform is established. By adjusting the input parameter matrix, the progress of infrastructure projects is simulated.

[0011] Preferably, the formulating of infrastructure project plans and programs according to the requirements of the infrastructure project specifically includes:

[0012] Prepare design drawings of infrastructure projects according to the requirements of infrastructure projects;

[0013] Establish preliminary infrastructure project plans and schedules based on infrastructure expectations and characteristics;

[0014] Based on the preliminary infrastructure project plans and schedules, set the expected progress of the infrastructure projects at each time node.

[0015] Preferably, the establishment of a traceability responsibility list and progress check-in record for each link of the infrastructure project based on the preliminary infrastructure plan and schedule specifically includes:

[0016] According to the preliminary infrastructure plan and schedule, implement the specific work tasks and trace the responsible persons in each link of the infrastructure project;

[0017] Based on the Internet of Things technology, monitor the actual progress of each link of infrastructure projects;

[0018] Establish a progress check-in system for infrastructure projects, and upload the actual progress of each link of the infrastructure project through personal account reports.

[0019] According to the actual progress of each link of the infrastructure project, the infrastructure project progress model is established based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected results. Specifically, it includes:

[0020] Based on big data and the expected progress results of infrastructure projects, a standard library of expected progress for each link of infrastructure projects is established;

[0021] Digitize and standardize the actual progress of each link of infrastructure projects;

[0022] Based on big data analysis and the standard library of expected progress of each link of infrastructure projects, a deviation coefficient matrix of expected progress of each link of infrastructure projects is established;

[0023] According to the deviation coefficient matrix of the expected progress of each link of the infrastructure project, confirm the input matrix of the infrastructure project progress model;

[0024] According to the input matrix of the infrastructure project progress model, based on the BP neural network algorithm, it is predicted whether the progress of the infrastructure project can achieve the expected results;

[0025] Determine whether the model prediction results are consistent with the standard library of expected progress of each link of the infrastructure project. If so, it means that the infrastructure project can achieve the expected results and no adjustment or fine-tuning is needed. If not, it means that the infrastructure project cannot achieve the expected results and needs to be adjusted and abnormal links traced;

[0026] The deviation coefficient expression of the expected progress of each link of the infrastructure project is:

[0027]

[0028] In the formula, α j is the deviation coefficient of the expected progress of the jth link of the infrastructure project, β is the deviation factor, is a constant, x is the i-th data of the same link at the same time node, is the expected progress result of the infrastructure project, and N is the number of different data in the same link at the same time node;

[0029] The deviation coefficient matrix expression of the expected progress of each link of the infrastructure project is:

[0030] H=[α1 α2 … α j … α m ]

[0031] Where H is the 1×m deviation coefficient matrix of the expected progress of each link of the infrastructure project, α jis the deviation coefficient of the expected progress of the jth link of the infrastructure project, m is the number of links of the infrastructure project;

[0032] The input matrix expression of the infrastructure project schedule model is:

[0033] F=HS

[0034] Where F is the input matrix of the infrastructure project schedule model, H is the 1×m deviation coefficient matrix of the expected schedule of each link of the infrastructure project, and S is the expected schedule matrix of each link of the actual infrastructure project.

[0035] Preferably, the infrastructure project traceability management platform is established based on the infrastructure project progress model in combination with CAD three-dimensional panoramic visualization technology, and the progress of the infrastructure project is simulated by adjusting the input parameter matrix, which specifically includes:

[0036] According to the progress model of infrastructure projects, combined with CAD 3D panoramic visualization technology, establish an infrastructure project traceability management platform;

[0037] Based on the infrastructure project traceability management platform, it is used to receive and store the punch-in records of the progress of each link of the infrastructure project;

[0038] Based on the infrastructure project traceability management platform, it is used to analyze and display whether the progress of infrastructure projects can achieve the expected results. If there is an abnormality, an abnormal warning will be issued and the infrastructure project traceability information of the abnormal situation will be fed back;

[0039] Update and optimize the infrastructure project schedule model based on actual infrastructure project needs and progress feedback;

[0040] Adjust relevant parameters, and based on CAD three-dimensional panoramic visualization technology, adjust and display the overall change trend brought about by the progress of each link of the infrastructure project, and make predictions and adjustments based on the overall change trend.

[0041] Furthermore, the present solution proposes a capital construction project traceability management system combined with panoramic visualization technology, which is used to implement the above-mentioned capital construction project traceability management method combined with panoramic visualization technology, including:

[0042] A project plan module, which is used to formulate a plan and schedule for an infrastructure project according to the requirements of the infrastructure project;

[0043] The progress prediction module is used to establish a traceability responsibility list and progress punch-in record for each link of the infrastructure project according to the preliminary infrastructure project plan and schedule; according to the actual progress of each link of the infrastructure project, based on the BP neural network algorithm, establish an infrastructure project progress model to predict whether the infrastructure project can achieve the expected results;

[0044] A panoramic visualization module is used to establish an infrastructure project traceability management platform based on the infrastructure project progress model in combination with CAD three-dimensional panoramic visualization technology, and simulate the progress of the infrastructure project by adjusting the input parameter matrix.

[0045] Preferably, the progress prediction module specifically includes:

[0046] A traceability responsibility and punch-in unit, which is used to establish a traceability responsibility list and progress punch-in record for each link of the infrastructure project based on the preliminary infrastructure project plan and schedule;

[0047] The progress prediction unit is used to establish a progress model of the infrastructure project based on the actual progress of each link of the infrastructure project and based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected results.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] By establishing a traceability responsibility list and progress punch-in record for each link of the infrastructure project, using the Internet of Things technology, monitoring the actual progress of each link of the infrastructure project, assigning specific work tasks to individuals, and determining the traceability responsible person, it is convenient to trace the responsible person according to the abnormal points in each link of the infrastructure project. Secondly, based on the BP neural network algorithm, an infrastructure project progress model is established. According to the actual progress of each link of the infrastructure project, the deviation coefficient matrix of the expected progress of each link of the infrastructure project and the infrastructure project progress model input matrix are determined, so as to predict whether the infrastructure project can achieve the expected results, and trace the abnormal points of each link of the infrastructure project through the prediction results. Finally, through the project traceability management platform, analysis, recording and It displays the progress of each link of the infrastructure project and abnormal points, issues abnormal warnings, and provides feedback on the traceability information of the infrastructure project of abnormal situations. It can also adjust and display the overall change trend brought about by the progress of each link of the infrastructure project by adjusting relevant parameters according to the CAD three-dimensional panoramic visualization technology, and make predictions and adjustments based on the overall change trend, so as to effectively enable the infrastructure project to be implemented and traced more efficiently and accurately, realize strict traceability management of infrastructure projects, ensure the standardization and transparency of infrastructure projects during the construction process, and monitor the progress of each link of the infrastructure project, timely discover and trace problems in abnormal links, and make timely processing and adjustments, which will help to achieve the goal of safe and stable operation of infrastructure projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A flow chart of a method for tracing and managing infrastructure projects in combination with panoramic visualization technology according to the present invention;

[0051] Figure 2According to the preliminary infrastructure plan and schedule, the present invention establishes a traceability responsibility list and a progress punch-in record flow chart for each link of the infrastructure project;

[0052] Figure 3 According to the actual progress of each link of the infrastructure project, the present invention establishes an infrastructure project progress model based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected result flow chart. DETAILED DESCRIPTION

[0053] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0054] Reference Figure 1 As shown, a capital construction project traceability management method combined with panoramic visualization technology includes:

[0055] Formulate infrastructure project plans and programs according to the requirements of infrastructure projects;

[0056] According to the preliminary infrastructure project plan and schedule, establish a traceability responsibility list and progress check-in record for each link of the infrastructure project;

[0057] According to the actual progress of each link of the infrastructure project, the infrastructure project progress model is established based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected results;

[0058] According to the progress model of infrastructure projects, combined with CAD three-dimensional panoramic visualization technology, an infrastructure project traceability management platform is established. By adjusting the input parameter matrix, the progress of infrastructure projects is simulated.

[0059] It can be explained that this scheme establishes a traceability responsibility list and progress punch-in record for each link of the infrastructure project, uses the Internet of Things technology to monitor the actual progress of each link of the infrastructure project, assigns specific work tasks to individuals, and determines the traceability responsible person, so as to be able to trace the responsible person according to the abnormal points in each link of the infrastructure project. Secondly, based on the BP neural network algorithm, an infrastructure project progress model is established. According to the actual progress of each link of the infrastructure project, the deviation coefficient matrix of the expected progress of each link of the infrastructure project and the infrastructure project progress model input matrix are determined, so as to predict whether the infrastructure project can achieve the expected results, and trace the abnormal points of each link of the infrastructure project through the prediction results. Finally, the project traceability management platform analyzes, records and displays the progress and abnormal points of each link of the infrastructure project, issues abnormal warnings, and feedbacks the infrastructure project traceability information of abnormal situations. In addition, by adjusting relevant parameters, according to the CAD three-dimensional panoramic visualization technology, the overall change trend brought about by the progress of each link of the infrastructure project can be adjusted and displayed, and predictions and adjustments can be made according to the overall change trend.

[0060] Reference Figure 2 As shown, according to the preliminary infrastructure plan and schedule, the traceability responsibility list and progress punch-in record for each link of the infrastructure project are established, including:

[0061] According to the preliminary infrastructure plan and schedule, implement the specific work tasks and trace the responsible persons in each link of the infrastructure project;

[0062] Based on the Internet of Things technology, monitor the actual progress of each link of infrastructure projects;

[0063] Establish a progress check-in system for infrastructure projects, and upload the actual progress of each link of the infrastructure project through personal account reports.

[0064] It can be explained that establishing a traceability responsibility list and progress punch-in record for each link of an infrastructure project is an important part of ensuring the progress model of the infrastructure project and the traceability-related links. Through the Internet of Things technology, the actual progress of each link of the infrastructure project is monitored, and the infrastructure project progress punch-in system provides real-time feedback on the actual progress of each link of the infrastructure project and the relevant responsible persons, thereby assigning specific work tasks to individuals and determining the traceability responsible persons, so as to facilitate the traceability of the responsible persons according to the abnormal points in each link of the infrastructure project.

[0065] Reference Figure 3 As shown, according to the actual progress of each link of the infrastructure project, based on the BP neural network algorithm, the infrastructure project progress model is established to predict whether the infrastructure project can achieve the expected results, specifically including:

[0066] Based on big data and the expected progress results of infrastructure projects, a standard library of expected progress for each link of infrastructure projects is established;

[0067] Digitize and standardize the actual progress of each link of infrastructure projects;

[0068] Based on big data analysis and the standard library of expected progress of each link of infrastructure projects, a deviation coefficient matrix of expected progress of each link of infrastructure projects is established;

[0069] According to the deviation coefficient matrix of the expected progress of each link of the infrastructure project, confirm the input matrix of the infrastructure project progress model;

[0070] According to the input matrix of the infrastructure project progress model, based on the BP neural network algorithm, it is predicted whether the progress of the infrastructure project can achieve the expected results;

[0071] Determine whether the model prediction results are consistent with the standard library of expected progress of each link of the infrastructure project. If so, it means that the infrastructure project can achieve the expected results and no adjustment or fine-tuning is needed. If not, it means that the infrastructure project cannot achieve the expected results and needs to be adjusted and the abnormal links need to be traced;

[0072] The deviation coefficient expression of the expected progress of each link of the infrastructure project is:

[0073]

[0074] In the formula, α j is the deviation coefficient of the expected progress of the jth link of the infrastructure project, β is the deviation factor, is a constant, x is the i-th data of the same link at the same time node, is the expected progress result of the infrastructure project, and N is the number of different data in the same link at the same time node;

[0075] The deviation coefficient matrix expression of the expected progress of each link of the infrastructure project is:

[0076] H=[α1 α2 … α j … α m ]

[0077] Where H is the 1×m deviation coefficient matrix of the expected progress of each link of the infrastructure project, α j is the deviation coefficient of the expected progress of the jth link of the infrastructure project, m is the number of links of the infrastructure project;

[0078] The input matrix expression of the infrastructure project schedule model is:

[0079] F=HS

[0080] Where F is the input matrix of the infrastructure project schedule model, H is the 1×m deviation coefficient matrix of the expected schedule of each link of the infrastructure project, and S is the expected schedule matrix of each link of the actual infrastructure project.

[0081] It can be explained that by comparing big data and historical data horizontally, the progress of each link of the infrastructure project model with the same type is analyzed. By analyzing the characteristics of the links such as consumables, time, building outline, and process, the deviation between the data progress and the expected progress is analyzed, and the deviation coefficient matrix of the expected progress of each link of the infrastructure project is determined, which means that the acceptable error deviation generated in the actual infrastructure project process is generated. The deviation coefficient matrix of the expected progress of each link of the infrastructure project is used to determine the infrastructure project progress model input matrix suitable for the BP neural network algorithm, so that the actual progress of each link of the received infrastructure project is analyzed and predicted through the BP neural network algorithm model. By judging whether the model prediction results are consistent with the standard library of the expected progress of each link of the infrastructure project, if so, it means that the infrastructure project can achieve the expected results without adjustment or fine-tuning. If not, it means that the infrastructure project cannot achieve the expected results and needs to be adjusted and the abnormal links are traced. Secondly, the deviation coefficient matrix of the expected progress of each link of the infrastructure project is a calculation formula based on the variance. By analyzing the discrete degree of different data in the same link at the same time node, the deviation coefficient of the expected progress of each link of the infrastructure project is determined.

[0082] Further, based on the same inventive concept as the above-mentioned infrastructure project traceability management method combined with panoramic visualization technology, this solution proposes an infrastructure project traceability management system combined with panoramic visualization technology, including:

[0083] A project plan module, which is used to formulate a plan and schedule for an infrastructure project according to the requirements of the infrastructure project;

[0084] The progress prediction module is used to establish a traceability responsibility list and progress punch-in record for each link of the infrastructure project according to the preliminary infrastructure project plan and schedule; according to the actual progress of each link of the infrastructure project, based on the BP neural network algorithm, establish an infrastructure project progress model to predict whether the infrastructure project can achieve the expected results;

[0085] A panoramic visualization module, which is used to establish an infrastructure project traceability management platform based on the infrastructure project progress model and in combination with CAD three-dimensional panoramic visualization technology, and to simulate the progress of the infrastructure project by adjusting the input parameter matrix;

[0086] The progress prediction module specifically includes:

[0087] A traceability responsibility and punch-in unit, which is used to establish a traceability responsibility list and progress punch-in record for each link of the infrastructure project based on the preliminary infrastructure project plan and schedule;

[0088] The progress prediction unit is used to establish a progress model of the infrastructure project based on the actual progress of each link of the infrastructure project and based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected results.

[0089] In summary, the advantages of the present invention are: by establishing a traceability responsibility list and progress punch-in record for each link of the infrastructure project, using the Internet of Things technology to monitor the actual progress of each link of the infrastructure project, implementing specific work tasks to individuals, and determining the traceability responsible person, it is convenient to trace the responsible person according to the abnormal points in each link of the infrastructure project. Secondly, based on the BP neural network algorithm, an infrastructure project progress model is established. According to the actual progress of each link of the infrastructure project, the deviation coefficient matrix of the expected progress of each link of the infrastructure project and the infrastructure project progress model input matrix are determined, so as to predict whether the infrastructure project can achieve the expected results, and trace the abnormal points of each link of the infrastructure project through the prediction results. Finally, through the project traceability management platform The platform analyzes, records and displays the progress of each link of the infrastructure project and abnormal points, issues abnormal warnings, and feeds back the traceability information of the infrastructure project of abnormal situations. It can also adjust and display the overall change trend brought about by the progress of each link of the infrastructure project by adjusting relevant parameters according to the CAD three-dimensional panoramic visualization technology, and make predictions and adjustments based on the overall change trend, so as to effectively enable the infrastructure project to be implemented and traced more efficiently and accurately, realize strict traceability management of infrastructure projects, ensure the standardization and transparency of infrastructure projects during the construction process, and monitor the progress of each link of the infrastructure project, timely discover and trace problems in abnormal links, and make timely processing and adjustments, which will contribute to the purpose of safe and stable operation of infrastructure projects.

[0090] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for tracing and managing infrastructure projects in combination with panoramic visualization technology, characterized in that: include: Formulate infrastructure project plans and programs according to the requirements of infrastructure projects; According to the preliminary infrastructure project plan and schedule, establish a traceability responsibility list and progress check-in record for each link of the infrastructure project; According to the actual progress of each link of the infrastructure project, the infrastructure project progress model is established based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected results; According to the progress model of infrastructure projects, combined with CAD three-dimensional panoramic visualization technology, an infrastructure project traceability management platform is established. By adjusting the input parameter matrix, the progress of infrastructure projects is simulated.

2. According to claim 1, a method for tracing and managing infrastructure projects in combination with panoramic visualization technology is characterized in that: According to the requirements of the infrastructure project, the development of infrastructure project plans and programs specifically include: Prepare design drawings of infrastructure projects according to the requirements of infrastructure projects; Establish preliminary infrastructure project plans and schedules based on infrastructure expectations and characteristics; Based on the preliminary infrastructure project plans and schedules, set the expected progress of the infrastructure projects at each time node.

3. The method for tracing and managing infrastructure projects in combination with panoramic visualization technology according to claim 2 is characterized in that: According to the preliminary infrastructure plan and schedule, the traceability responsibility list and progress punch-in record for each link of the infrastructure project are established, including: According to the preliminary infrastructure plan and schedule, implement the specific work tasks and trace the responsible persons in each link of the infrastructure project; Based on the Internet of Things technology, monitor the actual progress of each link of infrastructure projects; Establish a progress check-in system for infrastructure projects, and upload the actual progress of each link of the infrastructure project through personal account reports.

4. The method for tracing and managing infrastructure projects in combination with panoramic visualization technology according to claim 3 is characterized in that: According to the actual progress of each link of the infrastructure project, the infrastructure project progress model is established based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected results. Specifically, it includes: Based on big data and the expected progress results of infrastructure projects, a standard library of expected progress for each link of infrastructure projects is established; Digitize and standardize the actual progress of each link of infrastructure projects; Based on big data analysis and the standard library of expected progress of each link of infrastructure projects, a deviation coefficient matrix of expected progress of each link of infrastructure projects is established; According to the deviation coefficient matrix of the expected progress of each link of the infrastructure project, confirm the input matrix of the infrastructure project progress model; According to the input matrix of the infrastructure project progress model, based on the BP neural network algorithm, it is predicted whether the progress of the infrastructure project can achieve the expected results; Determine whether the model prediction results are consistent with the standard library of expected progress of each link of the infrastructure project. If so, it means that the infrastructure project can achieve the expected results and no adjustment or fine-tuning is needed. If not, it means that the infrastructure project cannot achieve the expected results and needs to be adjusted and the abnormal links need to be traced; The deviation coefficient expression of the expected progress of each link of the infrastructure project is: In the formula, α j is the deviation coefficient of the expected progress of the jth link of the infrastructure project, β is the deviation factor, is a constant, x is the i-th data of the same link at the same time node, is the expected progress result of the infrastructure project, and N is the number of different data in the same link at the same time node; The deviation coefficient matrix expression of the expected progress of each link of the infrastructure project is: H＝[α1 α2 … α j … α m ] Where H is the 1×m deviation coefficient matrix of the expected progress of each link of the infrastructure project, α j is the deviation coefficient of the expected progress of the jth link of the infrastructure project, m is the number of links of the infrastructure project; The input matrix expression of the infrastructure project schedule model is: F=HS Where F is the input matrix of the infrastructure project schedule model, H is the 1×m deviation coefficient matrix of the expected schedule of each link of the infrastructure project, and S is the expected schedule matrix of each link of the actual infrastructure project.

5. The method for tracing and managing infrastructure projects in combination with panoramic visualization technology according to claim 4 is characterized in that: The infrastructure project traceability management platform is established based on the infrastructure project progress model and combined with CAD three-dimensional panoramic visualization technology. By adjusting the input parameter matrix, the progress of the infrastructure project is simulated, which specifically includes: According to the progress model of infrastructure projects, combined with CAD 3D panoramic visualization technology, establish an infrastructure project traceability management platform; Based on the infrastructure project traceability management platform, it is used to receive and store the punch-in records of the progress of each link of the infrastructure project; Based on the infrastructure project traceability management platform, it is used to analyze and display whether the progress of infrastructure projects can achieve the expected results. If there is an abnormality, an abnormal warning will be issued and the infrastructure project traceability information of the abnormal situation will be fed back; Update and optimize the infrastructure project schedule model based on actual infrastructure project needs and progress feedback; Adjust relevant parameters, and based on CAD three-dimensional panoramic visualization technology, adjust and display the overall change trend brought about by the progress of each link of the infrastructure project, and make predictions and adjustments based on the overall change trend.

6. A capital construction project traceability management system combined with panoramic visualization technology, used to implement the capital construction project traceability management method combined with panoramic visualization technology as described in any one of claims 1 to 5, characterized in that: include: A project plan module, which is used to formulate a plan and schedule for an infrastructure project according to the requirements of the infrastructure project; The progress prediction module is used to establish a traceability responsibility list and progress punch-in record for each link of the infrastructure project according to the preliminary infrastructure project plan and schedule; according to the actual progress of each link of the infrastructure project, based on the BP neural network algorithm, establish an infrastructure project progress model to predict whether the infrastructure project can achieve the expected results; A panoramic visualization module is used to establish an infrastructure project traceability management platform based on the infrastructure project progress model in combination with CAD three-dimensional panoramic visualization technology, and simulate the progress of the infrastructure project by adjusting the input parameter matrix.

7. The method for tracing and managing infrastructure projects in combination with panoramic visualization technology according to claim 6 is characterized in that: The progress prediction module specifically includes: A traceability responsibility and punch-in unit, which is used to establish a traceability responsibility list and progress punch-in record for each link of the infrastructure project based on the preliminary infrastructure project plan and schedule; The progress prediction unit is used to establish a progress model of the infrastructure project based on the actual progress of each link of the infrastructure project and based on the BP neural network algorithm to predict whether the infrastructure project can achieve the expected results.

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