Visual management method and system for construction progress of building engineering

Abstract

The invention relates to the technical field of project management, and discloses a construction project construction progress visual management method and system, and the method comprises the steps: carrying out the bidirectional mapping binding of a construction progress plan list, and obtaining a progress management reference set; on the basis of the progress management reference set, carrying out association labeling on the field image data to obtain a field visual data set; performing multi-level visual judgment on the field visual data to obtain a real-time construction completion level; performing multi-dimensional matching on the real-time construction completion level and the planning stage completion benchmark of the progress management benchmark set to obtain a progress deviation analysis list, and performing differential rendering to obtain a progress deviation three-dimensional view; performing task derivation on the progress control demand data based on the deviation three-dimensional view to obtain task assignment tracking data; performing information fusion on the progress deviation three-dimensional view and the task assignment tracking data to obtain a progress management decision report; the efficiency of visual management of the construction progress can be improved.

Description

Technical Field

[0001] This invention relates to the field of project management technology, and in particular to a method and system for visual management of construction progress in building engineering. Background Technology

[0002] In computer applications of construction project schedule management, existing technologies have failed to achieve deep two-way mapping and binding between the construction schedule plan list and project component information. The integration of schedule benchmark data lacks systematicity, resulting in an inaccurate and incomplete construction of the schedule management benchmark set. This fails to provide a reliable digital reference for subsequent schedule control, affecting the standardization and effectiveness of schedule management.

[0003] In existing construction progress visualization solutions, there is a lack of effective means to link and annotate on-site image data with progress benchmarks. The levels of judgment on the construction status of on-site visual data are insufficient. At the same time, the analysis and presentation of progress deviations fail to achieve multi-dimensional integration and three-dimensional visualization. This makes it difficult for managers to accurately grasp the scope and correlation of progress deviations and to quickly and accurately formulate control measures. This restricts the digitalization and intelligence level of construction project progress management. Therefore, how to improve the efficiency of construction progress visualization management has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a method and system for visual management of construction progress in building engineering projects, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a method for visual management of construction progress in building engineering, comprising: S1. Perform a two-way mapping and binding on the construction schedule plan list of the project to obtain the schedule management benchmark set of the project. S2. Based on the progress management benchmark set, the on-site image data of the project are associated and labeled to obtain the on-site visual dataset of the project. S3. Perform multi-level visual judgment on the on-site visual data to obtain the real-time construction completion level of the project. S4. Perform multi-dimensional matching between the real-time construction completion level and the planned phase completion benchmark of the progress management benchmark set to obtain the progress deviation analysis list of the project, and perform differentiated rendering to obtain a three-dimensional view of the progress deviation of the project. S5. Based on the deviation 3D view, tasks are derived from the project's progress control requirements data to obtain the project's task assignment tracking data. S6. The schedule deviation 3D view and the task assignment tracking data are fused to obtain the project schedule management decision report.

[0006] In a preferred embodiment, the bidirectional mapping and binding of the project's construction schedule list to obtain the project's schedule management baseline set includes: Read the building information file of the project to obtain the component information set of the project; The construction schedule list of the project is associated and bound with the component information set to obtain the task component association relationship of the project. Based on the task component association relationship, the task schedule sequence of the construction progress plan list is mapped to the component information set to obtain the component schedule timeline of the project. By integrating the component information set, the construction schedule plan list, the task component association relationship, and the component plan timeline, the project schedule management benchmark set is obtained.

[0007] In a preferred embodiment, the step of associating and annotating the on-site image data of the project based on the progress management benchmark set to obtain the on-site visual dataset of the project includes: Based on the aforementioned progress management benchmark set, directional visual acquisition is performed on the construction site of the project to obtain the original image frames of the project. Spatial projection analysis is performed on the original image frames to obtain a list of suspected components of the project. Based on the list of suspected components and the progress management benchmark, the construction stage is inferred from the original image frames to obtain the stage record data of the project. The original image frames are associated with and aggregated with the stage-recorded data to obtain the on-site visual dataset of the project.

[0008] In a preferred embodiment, the step of performing multi-level visual judgment on the on-site visual data to obtain the real-time construction completion level of the project includes: Pixel semantic segmentation is performed on the construction area boundary of the on-site visual data to obtain a preliminary segmentation map of the project. Contour extraction is performed on the geometric features of the components in the primary segmentation image to obtain the instance recognition result of the project. Based on the component surface texture, geometric integrity, and surrounding construction traces features in the instance identification results, the status of the building project is determined to obtain the real-time construction completion level of the project.

[0009] In a preferred embodiment, the process of multi-dimensionally matching the real-time construction completion level with the planned phase completion benchmark of the schedule management benchmark set to obtain a schedule deviation analysis list for the project, and performing differentiated rendering to obtain a three-dimensional view of the project's schedule deviation, includes: The real-time construction completion level and the planned phase completion benchmark in the progress management benchmark set are compared and aligned on the time axis to obtain the time sequence deviation data of the project. Based on the aforementioned schedule management benchmark set, dependency path propagation analysis is performed on the timing deviation data to obtain the process influence chain of the project. Deviation assessment is performed on the time-series deviation data and the process influence chain to obtain the resource consumption deviation data of the project. By comprehensively analyzing the timing deviation data, the process influence chain, and the resource consumption deviation data, a schedule deviation analysis list for the project is obtained. Based on the schedule deviation analysis list, the visualization environment of the project is rendered differently to obtain a three-dimensional view of the project schedule deviation.

[0010] In a preferred embodiment, the formula for calculating the weight of the overall deviation impact in the schedule deviation analysis list is as follows: ; In the formula, The weighting of the combined deviation effect, The time-series deviation data, The absolute value of the time series deviation data. This represents the maximum permissible timing deviation of the timing deviation data. The preset time decay coefficient, This is the time difference between the current analysis point in time and the baseline for the completion of the aforementioned planning phase. This is the quantification value of the impact of the process on the chain. The maximum value of the chain quantization value affected by the process is [value missing]. The preset process influences the chain dimension weight coefficient. The preset influence chain length attenuation coefficient, The influence chain length of the process-affected chain. The resource consumption deviation data, The absolute value of the deviation of the resource consumption from the data. This refers to the maximum allowable resource consumption deviation value for the aforementioned resource consumption deviation data. The preset resource consumption deviation dimension weight coefficient, The preset weighting coefficients for the time series deviation dimension.

[0011] In a preferred embodiment, the step of performing differentiated rendering of the project's visualization environment based on the schedule deviation analysis list to obtain a three-dimensional view of the project's schedule deviation includes: Based on the schedule deviation analysis list, the visualization environment of the project is traversed and located to obtain the location information of the target components of the project. Based on the deviation types and impacts of the schedule deviation analysis list, parameter mapping is performed on the target component location information to obtain the visual attribute configuration scheme of the project. Based on the aforementioned visual attribute configuration scheme, the target component location information is rendered and fused with the original background component in the visualization environment to obtain the three-dimensional scene of the project. Extract the planned timeline information and planned task Gantt chart information of the schedule deviation analysis list from the schedule management benchmark set; Based on the three-dimensional scene, the planned timeline information and the planned task Gantt chart information are synchronously overlaid to obtain a three-dimensional view of the project's schedule deviation.

[0012] In a preferred embodiment, the step of deriving tasks from the project's schedule control requirements data based on the deviation 3D view to obtain the project's task assignment and tracking data includes: The visual attributes and associated annotations of the three-dimensional view of the schedule deviation are reconstructed to obtain the specific control requirements of the project. By binding responsibilities to the specific management and control requirements, the tasks to be assigned to the project are obtained; Based on the progress management benchmark set, the tasks to be assigned are derived and pushed, and task confirmation feedback is received to obtain the task assignment status record of the project. By summarizing the tasks to be assigned and the task assignment status records, the task assignment tracking data of the project is obtained.

[0013] In a preferred embodiment, the step of fusing information from the three-dimensional view of the schedule deviation and the task assignment tracking data to obtain the project schedule management decision report includes: Based on the aforementioned three-dimensional view of schedule deviation, the visual attributes, spatial location information, and associated deviation types and values ​​of the key deviation components in the construction project are extracted to obtain the key deviation information of the project. The responsible party, task content, current execution status, and planned completion time of the task assignment tracking data are identified and refined to obtain a task execution summary of the project. Logically correlate the expected effects of deviation correction and the impact on schedule between the key deviation information and the task execution summary to obtain the correlation and impact relationship of the project. The development trend and effectiveness of task intervention in the three-dimensional view of the schedule deviation are identified and predicted to obtain the development trend prediction information of the project. The key deviation information, the task execution summary, the correlation and impact relationships, and the development trend prediction information are compiled in a structured manner to obtain the project progress management decision report.

[0014] To address the above problems, the present invention also provides a construction project progress visualization management system, the system comprising: The schedule baseline construction module is used to perform bidirectional mapping and binding of the construction schedule plan list of the project to obtain the schedule management baseline set of the project. The on-site visual annotation module is used to associate and annotate the on-site image data of the project based on the progress management benchmark set, so as to obtain the on-site visual dataset of the project. The completion level determination module is used to perform multi-level visual determination on the on-site visual data to obtain the real-time construction completion level of the project. The deviation 3D rendering module is used to perform multi-dimensional matching between the real-time construction completion level and the planned phase completion benchmark of the progress management benchmark set to obtain the progress deviation analysis list of the project, and perform differentiated rendering to obtain a 3D view of the progress deviation of the project. The task derivation module is used to derive tasks from the project's progress control requirements data based on the deviation 3D view, thereby obtaining the project's task assignment and tracking data. The decision report generation module is used to fuse the information from the three-dimensional view of the schedule deviation and the task assignment tracking data to obtain the schedule management decision report of the project.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention binds the construction schedule plan list with component information through a two-way mapping, and the progress management benchmark set comprehensively integrates key related data. Based on this benchmark set, the invention performs directional collection, spatial projection analysis, and stage inference of on-site image data. Combined with a multi-level visual judgment process, it accurately extracts component features and determines the construction status, making the output of real-time construction completion level more objective and accurate, and providing comprehensive and reliable data support for all aspects of progress control.

[0016] 2. This invention improves the multi-dimensional matching analysis of schedule deviations, covering core dimensions such as timing, process impact, and resource consumption. Differentiated rendering technology transforms deviation information into an intuitive 3D view. Based on the view, control requirements are accurately reconstructed and tracking tasks are derived. Finally, a structured decision report is formed through information fusion, enabling efficient connection between deviation identification, task assignment, and decision-making in schedule management. This significantly improves the systematicness and operability of visual management of construction project schedules, and strengthens the pertinence and scientific nature of schedule control. Attached Figure Description

[0017] Figure 1 A flowchart illustrating a method for visual management of construction progress in building engineering, provided in an embodiment of the present invention; Figure 2 A functional module diagram of a construction project progress visualization management system provided in an embodiment of the present invention; The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] This application provides a method for visually managing the construction progress of a building project. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for visually managing the construction progress of a building project can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0020] Reference Figure 1 The diagram shown is a flowchart illustrating a method for visually managing the construction progress of a building project, according to an embodiment of the present invention. In this embodiment, the method for visually managing the construction progress of a building project includes: S1. Perform a two-way mapping and binding on the construction schedule plan list of the project to obtain the schedule management benchmark set of the project. In this embodiment of the invention, the step of bidirectionally mapping and binding the construction schedule list of the project to obtain the schedule management benchmark set of the project includes: Read the building information file of the project to obtain the component information set of the project; The construction schedule list of the project is associated and bound with the component information set to obtain the task component association relationship of the project. Based on the task component association relationship, the task schedule sequence of the construction progress plan list is mapped to the component information set to obtain the component schedule timeline of the project. By integrating the component information set, the construction schedule plan list, the task component association relationship, and the component plan timeline, the project schedule management benchmark set is obtained.

[0021] Read the building information file of the project, which contains structured data related to various components required for project construction. By parsing the component description field in the file line by line, extract key information such as component type, specifications, spatial location, and material properties. Organize and summarize all extracted component-related information into a unified category to obtain the component information set of the project.

[0022] The construction schedule list includes information such as the name of each construction task, specific construction content, and scheduled execution order. By comparing the construction object description of each construction task with the unique identifier of the component in the component information set, one or more specific components corresponding to each construction task are identified, and a corresponding association record between construction tasks and components is established to obtain the task-component relationship of the project.

[0023] Based on the relationship between task components, the specific construction task corresponding to each component is determined. The planned start time, planned end time, and construction duration of the construction task are extracted from the construction schedule list. This time sequence information is bound to the corresponding component. The construction time sequence of each component is sorted out by component name or identifier, and its planned construction nodes in the entire project cycle are clarified to obtain the component planning timeline of the project.

[0024] The basic data of the component information set, the complete task arrangement of the construction schedule plan list, the corresponding logic of the task component relationship, and the time sequence planning of the component plan timeline are summarized and integrated in accordance with the unified data specifications for digital project management. This ensures that the relationship logic between various types of data is clear and traceable, and all core information related to project progress is fully included, ultimately forming the project's progress management benchmark set.

[0025] The beneficial effects are that by reading building information files, core component information can be accurately extracted, and then a clear association can be established between the construction schedule list and the component information set. The corresponding logic between tasks and components can be clearly defined, and the task schedule sequence can be accurately mapped to the components to form a dedicated timeline. Finally, a progress management benchmark set formed by integrating multiple types of key data has the characteristics of data comprehensiveness, logical association, and accurate timing. This provides a solid and reliable foundation for the digital management and control of construction progress, ensuring that subsequent progress management work can be carried out in an orderly manner based on a unified and standardized benchmark, and strengthening the systematicness and accuracy of progress management.

[0026] S2. Based on the progress management benchmark set, the on-site image data of the project are associated and labeled to obtain the on-site visual dataset of the project. In this embodiment of the invention, the step of associating and annotating the on-site image data of the project based on the progress management benchmark set to obtain the on-site visual dataset of the project includes: Based on the aforementioned progress management benchmark set, directional visual acquisition is performed on the construction site of the project to obtain the original image frames of the project. Spatial projection analysis is performed on the original image frames to obtain a list of suspected components of the project. Based on the list of suspected components and the progress management benchmark, the construction stage is inferred from the original image frames to obtain the stage record data of the project. The original image frames are associated with and aggregated with the stage-recorded data to obtain the on-site visual dataset of the project.

[0027] Based on the core information such as the spatial location of components and the distribution of construction tasks in the progress management benchmark, the visual acquisition path and key acquisition areas of the project site are planned, the shooting angle and coverage of each acquisition point are defined, and the visual acquisition equipment deployed on site is used to continuously shoot according to the plan to capture image information including the construction area and the actual state of the components, and obtain the original image frames of the project.

[0028] The two-dimensional pixel array of the original image frame is mapped to a three-dimensional spatial coordinate system. Referring to the geometric dimensions and spatial layout characteristics of the components in the progress management benchmark set, the pixel regions in the image are calibrated and feature matched to identify the pixel sets in the image that match the component characteristics. Information such as the contour boundaries and relative positional relationships of these sets are extracted and sorted into a list of suspected components for the project.

[0029] By comparing the component planning timeline in the progress management benchmark with the component status requirements of each construction stage, and combining the visual characteristics such as component appearance and installation progress recorded in the list of suspected components, the construction progress stage corresponding to the original image frame is determined. The correspondence between the planned completion standard and the actual presentation status of each suspected component in this stage is clarified. Key information such as stage name, corresponding component identifier, and current acquisition time are recorded to obtain the stage record data of the project.

[0030] According to the acquisition sequence of the original image frames, each image frame is bound to the corresponding stage record data one by one. The construction stage associated with each image frame, the suspected components involved, and the stage judgment basis are marked. Then, all the bound information is classified and summarized according to the data specifications of digital project management to ensure that the correlation between image data and stage information is traceable, and finally a site visual dataset of the project is formed.

[0031] The beneficial effects are that targeted visual acquisition based on the progress management benchmark set ensures that the original image frames can accurately cover key construction areas and core components. Combined with spatial projection analysis, suspected components can be accurately identified. Then, the construction progress status corresponding to the image can be clarified by inferring the construction stage. Finally, the original image frames and stage record data are correlated and aggregated to form a field visual dataset that combines the authenticity of the images with the correlation of stage information. The data structure is standardized and the content is complete, providing accurate and comprehensive basic data support for subsequent multi-level visual judgment. This ensures that construction progress-related analysis can be carried out in an orderly manner based on reliable visual data, and strengthens the data foundation reliability of digital management of construction project progress.

[0032] S3. Perform multi-level visual judgment on the on-site visual data to obtain the real-time construction completion level of the project. In this embodiment of the invention, the step of performing multi-level visual judgment on the on-site visual data to obtain the real-time construction completion level of the project includes: Pixel semantic segmentation is performed on the construction area boundary of the on-site visual data to obtain a preliminary segmentation map of the project. Contour extraction is performed on the geometric features of the components in the primary segmentation image to obtain the instance recognition result of the project. Based on the component surface texture, geometric integrity, and surrounding construction traces features in the instance identification results, the status of the building project is determined to obtain the real-time construction completion level of the project.

[0033] The original image frames and stage recording data contained in the on-site visual data are analyzed, focusing on the construction area in the image. Based on the differences in pixel grayscale and color distribution between components and background, and between different types of components, the category is determined pixel by pixel. The attributes of each pixel belonging to the construction area or non-construction area, specific component or other component are clarified. Pixels with the same attribute are aggregated into regions and labeled with category labels to form a primary segmentation map of the project that clearly distinguishes between construction-related areas and unrelated areas, and different component areas.

[0034] For the various component regions already marked in the primary segmentation image, the pixels along the region boundaries are tracked sequentially to capture the continuous distribution trajectory of the boundary pixels, outlining the complete outline of each component. At the same time, geometric features such as curvature changes, side length ratios, and overall shape of the outline are extracted. Combined with the category labels of the primary segmentation image, the outline information of each component is bound to the corresponding category and geometric features. The instance information of each independent component is recorded one by one to obtain the instance recognition results of the project.

[0035] Extract the surface texture information of each component from the instance identification results, observe whether its surface presents the standard material texture of the completed component, whether there are untreated rough surfaces or construction residues, check whether the geometric outline of the component is complete, whether key structural parts are missing, and confirm whether there are traces of construction tools, uncleaned waste, etc. around the component. Based on the combined characteristics of these three aspects, compare the completion standards of the components at this stage with the progress management benchmark, determine the degree of construction completion of each component, and then summarize the completion status of all components to form the real-time construction completion level of the project.

[0036] The beneficial effects are as follows: by performing pixel semantic segmentation on the construction area boundaries of the on-site visual data, the relevant and irrelevant areas, as well as the areas of different components, are accurately divided. The resulting primary segmentation map provides a clear data foundation for subsequent analysis. Then, the geometric features of the components in the primary segmentation map are extracted to clarify the independent instance information of each component. The obtained instance recognition results are accurate and complete. Based on the component appearance texture, geometric integrity, and surrounding construction traces in the results, a comprehensive status judgment is made to ensure that the assessment of construction completion is comprehensive and in line with reality. The final real-time construction completion level can truly reflect the construction progress status of the project, providing accurate and reliable core data for subsequent progress deviation matching analysis, and effectively enhancing the accuracy and effectiveness of digital management of construction project progress.

[0037] S4. Perform multi-dimensional matching between the real-time construction completion level and the planned phase completion benchmark of the progress management benchmark set to obtain the progress deviation analysis list of the project, and perform differentiated rendering to obtain a three-dimensional view of the progress deviation of the project. In this embodiment of the invention, the step of performing multi-dimensional matching between the real-time construction completion level and the planned phase completion benchmark of the progress management benchmark set to obtain a progress deviation analysis list for the project, and performing differentiated rendering to obtain a three-dimensional view of the project's progress deviation, includes: The real-time construction completion level and the planned phase completion benchmark in the progress management benchmark set are compared and aligned on the time axis to obtain the time sequence deviation data of the project. Based on the aforementioned schedule management benchmark set, dependency path propagation analysis is performed on the timing deviation data to obtain the process influence chain of the project. Deviation assessment is performed on the time-series deviation data and the process influence chain to obtain the resource consumption deviation data of the project. By comprehensively analyzing the timing deviation data, the process influence chain, and the resource consumption deviation data, a schedule deviation analysis list for the project is obtained. Based on the schedule deviation analysis list, the visualization environment of the project is rendered differently to obtain a three-dimensional view of the project schedule deviation.

[0038] The formula for calculating the weight of the overall deviation impact in the schedule deviation analysis list is as follows: ; In the formula, The weighting of the combined deviation effect, The time-series deviation data, The absolute value of the time series deviation data. This represents the maximum permissible timing deviation of the timing deviation data. The preset time decay coefficient, This is the time difference between the current analysis point in time and the baseline for the completion of the aforementioned planning phase. This is the quantification value of the impact of the process on the chain. The maximum value of the chain quantization value affected by the process is [value missing]. The preset process influences the chain dimension weight coefficient. The preset influence chain length attenuation coefficient, The influence chain length of the process-affected chain. The resource consumption deviation data, The absolute value of the deviation of the resource consumption from the data. This refers to the maximum allowable resource consumption deviation value for the aforementioned resource consumption deviation data. The preset resource consumption deviation dimension weight coefficient, The preset weighting coefficients for the time series deviation dimension.

[0039] Based on the schedule deviation analysis list, the visualization environment of the project is rendered differently to obtain a three-dimensional view of the project's schedule deviation, including: Based on the schedule deviation analysis list, the visualization environment of the project is traversed and located to obtain the location information of the target components of the project. Based on the deviation types and impacts of the schedule deviation analysis list, parameter mapping is performed on the target component location information to obtain the visual attribute configuration scheme of the project. Based on the aforementioned visual attribute configuration scheme, the target component location information is rendered and fused with the original background component in the visualization environment to obtain the three-dimensional scene of the project. Extract the planned timeline information and planned task Gantt chart information of the schedule deviation analysis list from the schedule management benchmark set; Based on the three-dimensional scene, the planned timeline information and the planned task Gantt chart information are synchronously overlaid to obtain a three-dimensional view of the project's schedule deviation.

[0040] Using the planned time nodes and corresponding completion standards included in the centralized planning phase completion benchmark as a reference, the actual completion status and associated time information corresponding to the real-time construction completion level are extracted. The two are then aligned and time-axis according to a unified time granularity, so that each planned time node can accurately match the corresponding actual completion status. By comparing the degree of fit between the actual construction completion level and the planned phase completion benchmark at the same time node, the differences between the two and the corresponding time information are recorded to obtain the time sequence deviation data of the project.

[0041] The schedule management baseline includes the dependencies between construction procedures, the relationship logic between tasks and components, and the planned timeline of components. Based on this information, the connection path between the preceding and subsequent procedures of each construction stage is identified. Combined with the time sequence deviation data, the specific procedures or components with schedule deviations are identified. The subsequent procedures that may be affected by the deviation are traced layer by layer along the identified dependency path. The procedures with direct or indirect impacts are linked in sequence according to the order of influence transmission, forming a clear process impact chain of the project that reflects the propagation path of the deviation.

[0042] The schedule management baseline centrally stores the planned resource allocation schemes corresponding to each process and time node, including the preset usage and time allocation of manpower, materials, and equipment. Combined with the progress speed in the time sequence deviation data, as well as the number and scope of affected processes in the process influence chain, it analyzes the fit between actual resource consumption and planned resource allocation, calculates the resource idleness, overconsumption, or insufficient supply caused by schedule deviation, records the difference between actual resource consumption and planned usage and the causes, and obtains the resource consumption deviation data of the project.

[0043] By integrating the details of time differences in the time series deviation data, the scope and transmission path of the impact in the process influence chain, and the resource differences in the resource consumption deviation data, a comprehensive analysis is conducted from multiple dimensions such as the root cause, manifestation, degree of impact, and involved objects of the deviation. The construction components, related processes, time nodes, and resource impacts corresponding to each deviation are identified. This information is classified and organized according to the unified standards of digital project management to form a schedule deviation analysis list for the project that includes core deviation information and related impact data.

[0044] Based on the deviation type and impact information in the schedule deviation analysis list, all components in the project engineering visualization environment are traversed to accurately locate the spatial position information of the target components with schedule deviations. Differentiated visual attributes are set according to different deviation types and impact levels, including color coding, transparency, and outline highlighting styles. These visual attributes are configured and applied to the corresponding target components, and the images are fused with the original background components in the visualization environment to form a three-dimensional scene that can distinguish the deviation status. Then, the planned time axis information and planned task Gantt chart information are extracted from the schedule management benchmark set and synchronously superimposed onto the three-dimensional scene to finally obtain a three-dimensional view of the project schedule deviation.

[0045] The time-series deviation data comes from the time axis alignment comparison between the real-time construction completion level and the completion benchmark of the centralized planning stage in the progress management benchmark. Specifically, it extracts the actual construction progress nodes and completion status descriptions corresponding to the real-time construction completion level, and compares them point by point with the planned nodes and standard completion statuses specified in the centralized planning stage of the progress management benchmark. This clarifies the difference between the actual and planned progress in time, and the difference value is the time-series deviation data. Its absolute value is obtained by removing the positive and negative signs of the time-series deviation data and retaining only the non-negative value itself, ensuring that the quantitative expression of the deviation magnitude is not affected by the direction.

[0046] The maximum permissible time deviation is a value pre-set by combining the total construction period of the project, the time requirements of key processes, and industry construction specifications. The total construction period is taken from the overall time plan in the schedule management benchmark set, the time requirements of key processes are extracted from the time settings of the corresponding processes on the critical path in the construction schedule list, and the industry construction specifications refer to the schedule deviation control standards formulated in the field of building engineering for similar projects. Taking into account these three factors, a reasonable upper limit value of deviation is determined according to the specific scale and construction difficulty of the project, as the basis for judging whether the time deviation exceeds the acceptable range.

[0047] The time decay coefficient is a fixed value pre-set based on the time-sensitive characteristics of project construction and with reference to the management experience of similar projects in the industry. The time-sensitive characteristics of project construction are reflected in the different tolerances for deviations at different stages such as the early stage of construction, the critical node period, and the closing stage. The impact of deviations in the early stage may be made up by subsequent processes over time, while the impact of deviations in the later stage is difficult to recover. The management experience of similar projects in the industry refers to collecting deviation impact data of projects of similar type and scale in the industry at different time points, summarizing the pattern of deviation impact changing over time, and setting a fixed coefficient accordingly to weaken the impact of long-term deviations on the comprehensive evaluation.

[0048] The time difference between the current analysis time and the planned phase completion benchmark is obtained by acquiring the specific time of the current schedule deviation analysis. This time is automatically recorded by the project management digital platform at the system time when the analysis operation is triggered. Then, the completion benchmark time of the corresponding planned phase is extracted from the schedule management benchmark set. This time comes from the preset completion node of the phase in the component plan timeline. The two times are directly compared and calculated. The difference is the time difference between the current analysis time and the planned phase completion benchmark. If the actual time is later than the planned time, the difference is positive, and vice versa. Finally, it is presented in a non-negative form.

[0049] The quantitative value of the process impact chain is a specific value assigned after comprehensively evaluating the number of processes affected by deviations and the degree of impact on each process. The number of affected processes is determined by traversing the process dependency paths in the schedule management benchmark set and counting the total number of processes directly or indirectly affected by the initial deviation. The degree of impact on each process is determined based on factors such as the importance of the process in the overall project construction process, whether it is a critical path process, and the size of the impact scope. Core processes or critical path processes are judged to have a high degree of impact, while non-core processes are judged to have a medium or low degree of impact. Then, a corresponding score is assigned to the degree of impact according to a preset standard. The basic score corresponding to the number of affected processes is added to the score of the degree of impact of each process to obtain the quantitative value of the process impact chain.

[0050] The maximum value of the process impact chain quantification is a pre-set value based on the total number of processes in the project, the complexity of process relationships, and process impact data from similar historical projects. The total number of processes is extracted from the construction schedule list in the schedule management benchmark set, and the total number of all independent construction processes is counted. The complexity of process relationships is determined by analyzing the number of serial and parallel dependencies between processes; the more dependencies, the higher the complexity. The process impact data from similar historical projects comes from the industry project management database, and the maximum quantification value of the process impact chain in similar projects is extracted as a reference. A fixed upper limit value is set by considering these three factors to standardize the range of values ​​for the process impact chain quantification.

[0051] The weight coefficient of the process impact chain dimension is based on the importance of the impact of process relationships on the overall project schedule, combined with a fixed value pre-set by the project schedule management objectives. The importance of the impact of process relationships is determined by judging whether the relationship involves the critical path, whether it affects multiple parallel processes, and whether it is related to the achievement of milestone nodes. Process relationships on the critical path have a higher impact. Project schedule management objectives include on-time delivery, early completion of nodes, and optimized resource utilization. The weight coefficient is adjusted according to different objectives. If the objective is on-time delivery, the weight coefficient of process relationships is set to a higher value to ensure that this dimension occupies a reasonable proportion in the comprehensive evaluation.

[0052] The chain length attenuation coefficient takes into account the characteristic that the influence of a process on the chain gradually weakens as the chain extends. Based on industry management experience, a value is pre-set. The specific manifestation of the weakening influence as the chain extends is that the initial process has the most direct and highest impact on the immediately following process. As the process chain continues to extend, the influence decreases by a fixed proportion with each subsequent process. Industry management experience refers to referring to case studies of process deviation transmission in completed projects within the construction industry to summarize the general laws of influence attenuation. Based on this, a fixed coefficient is set to reflect this attenuation effect in quantitative calculations.

[0053] The influence chain length is the number of complete processes in the statistical process influence chain from the initial process with deviation to the final affected process. The initial process with deviation is the first process that directly causes the schedule deviation and triggers the transmission of influence. The final affected process is the last process after the deviation influence is transmitted to this process and no longer spreads to subsequent processes. When counting, the process influence chain is counted one by one in the transmission order to ensure that no affected process is missed and the same process is not counted repeatedly, and the complete path length of the influence transmission is accurately recorded.

[0054] Resource consumption deviation data comes from the results of deviation assessment of time-series deviation data and process impact chains. The specific assessment process is as follows: the progress rate is judged based on the time-series deviation data. Delay in progress may lead to idle resources such as manpower and equipment, while progress ahead of schedule may lead to accelerated resource consumption. Combined with the number and importance of affected processes in the process impact chain, the additional demand for resources or resource waste of affected processes is analyzed. The difference between actual resource consumption and planned resource consumption is obtained by combining the results of these two aspects. The absolute value is obtained by removing the positive and negative signs of the difference value and only retaining the non-negative value itself.

[0055] The maximum allowable deviation in resource consumption is a pre-set value that combines the total resource budget of the project, the resource supply capacity, and industry resource usage standards. The total resource budget is taken from the resource allocation plan in the progress management benchmark, which clarifies the budget upper limit for various resources such as manpower, materials, and equipment throughout the project cycle. The resource supply capacity is determined based on the supplier's supply commitment and the company's internal resource reserves. The industry resource usage standards refer to the resource consumption quota standards formulated in the construction engineering field for similar projects. Taking into account these three factors, a reasonable upper limit for resource consumption difference is set as the basis for judging whether resource consumption exceeds the acceptable range.

[0056] The weighting coefficient for the resource consumption deviation dimension is determined by the degree to which resource consumption constrains project progress. It is combined with a fixed value pre-set in the project resource management plan. The degree to which resource consumption constrains progress is determined by analyzing the scarcity, difficulty of acquisition, and substitutability of various resources. Resources with high scarcity and difficulty of acquisition have a higher degree of constraint. The project resource management plan clarifies the priority and allocation strategy of resource security. If the plan emphasizes the efficient use of core resources, the weighting coefficient for the resource consumption deviation dimension is set to a higher value to ensure that the impact of this dimension is fully reflected in the comprehensive evaluation.

[0057] The weighting coefficient for the timing deviation dimension is based on the priority of the impact of timing deviations on project progress, combined with a fixed value pre-set for the overall project progress target. The priority of the impact of timing deviations is determined by factors such as the stage at which the deviation occurs, whether it affects key nodes, and the duration of the deviation. Deviations near key nodes and deviations with longer durations have a higher priority. The overall project progress target includes achieving the total project duration target and completing key nodes on schedule. If the target focuses on strictly achieving the total project duration target, the weighting coefficient for the timing deviation dimension is set to a higher value, so that this dimension plays a dominant role in the comprehensive evaluation.

[0058] This formula is used to comprehensively evaluate the combined impact of three dimensions—timeline deviation, process influence chain, and resource consumption deviation—on project schedule. Specifically, for the timeline deviation dimension, the ratio of the absolute value of the timeline deviation data to the maximum allowable timeline deviation is multiplied by a time decay coefficient to obtain the quantitative impact value for this dimension. The time decay coefficient ensures that the impact of long-term deviations is reasonably weakened. For the process influence chain dimension, the ratio of the quantitative value of the process influence chain to the maximum quantitative value is multiplied by a correction term that includes the influence chain length and decay coefficient to obtain the quantitative impact value for this dimension. The correction term reflects the decay effect of the influence chain length on the degree of impact. For the resource consumption deviation dimension, the ratio of the absolute value of the resource consumption deviation data to the maximum allowable resource consumption deviation value is used to obtain the quantitative impact value for this dimension. Then, corresponding weight coefficients are assigned to the quantitative impact values ​​of the three dimensions. The weight coefficients are set according to the importance of each dimension's impact on schedule. Finally, the weighted impact values ​​of the three dimensions are added together to obtain the comprehensive deviation impact weight that can comprehensively reflect the overall impact of schedule deviations.

[0059] This comprehensive deviation impact weighting objectively presents the combined effect of different deviation factors, clearly defining the severity of project schedule deviations. For example, the higher the weight value, the greater the overall impact of the deviation on the schedule, and the more severe the deviation. This provides core quantitative basis for the schedule deviation analysis list, helping managers to sort deviations by weight and prioritize key deviations with high impact. At the same time, this weighting can also clarify the contribution ratio of each dimension of deviation to the overall impact, allowing managers to accurately identify the key influencing factors of schedule deviations, whether it is time delay, process correlation, or abnormal resource consumption. This provides direction for subsequent development of targeted schedule control measures. For example, for high-weight deviations dominated by time delay, measures can be developed to accelerate construction progress; for deviations dominated by resource consumption deviation, resource allocation plans can be optimized, providing reliable support for optimizing schedule management decisions.

[0060] The component identifiers with schedule deviations recorded in the schedule deviation analysis list are analyzed. Based on the digital 3D model of the project's engineering visualization environment, the model is traversed level by level according to its spatial hierarchy. Based on the unique correspondence between the component identifier and the component in the 3D model, the coordinate position, structural level, and relative positional relationship with surrounding components of each deviation component in 3D space are accurately located. This positional information is then classified and organized to obtain the target component position information of the project.

[0061] The deviation types identified in the schedule deviation analysis checklist are reviewed, including those that are behind schedule or ahead of schedule. The impact of each deviation is also confirmed. Based on the unified standards for project schedule visualization management, specific visual attributes are set for different deviation types and impact levels. For example, components that are behind schedule are assigned a specific color, with higher color saturation as the impact level increases. Components that are ahead of schedule are assigned another type of color. These visual attributes are then combined with different transparency and outline highlighting styles. These visual attributes are linked to the location information of the target components one by one, clarifying the visual presentation requirements for each target component and forming a visual attribute configuration scheme for the project.

[0062] Based on the visual attribute configuration scheme, the spatial coordinates and structural parameters of each deviation component are extracted from the target component position information. In the original background component of the project engineering visualization environment, each deviation component is rendered and adjusted according to the corresponding visual attributes, such as assigning a set color to the component, adjusting the transparency to a specified level, and adding a highlight outline. Then, all the rendered and adjusted target components are precisely aligned and superimposed with the original background components in three-dimensional space to ensure that the spatial positions of the deviation components and the background components are completely matched without misalignment or overlap, thus obtaining the three-dimensional scene of the project engineering.

[0063] The project's overall planned schedule, planned nodes for each construction phase, and corresponding task Gantt chart data are reviewed from the centralized storage of the progress management benchmark. Based on the construction tasks and time node information associated with the deviations in the progress deviation analysis list, the corresponding planned time axis information is searched in the benchmark, including the planned start time, planned end time, and phase division of each task. At the same time, the corresponding planned task Gantt chart information is extracted, covering the time span, associated components, and task priority markings for each task. All of these extracted information are fully summarized to ensure accurate correspondence with the content of the progress deviation analysis list.

[0064] Using the generated 3D scene as the base, the extracted timeline information is overlaid on the edge area of ​​the 3D scene in an interactive linear form, ensuring that the components in the scene are not obscured. Then, the Gantt chart information of the planned tasks is overlaid on the corresponding node positions of the timeline in a layered floating form, realizing the precise association between the Gantt chart and the timeline. At the same time, an interactive synchronization mechanism between the timeline, Gantt chart and 3D scene is established. When any node of the timeline or Gantt chart is clicked, the 3D scene will automatically focus on displaying the construction area and deviation components corresponding to that node, forming a 3D view of the project's progress deviation that combines spatial visualization, time dimension reference and task association display.

[0065] The beneficial effects are as follows: by aligning and comparing the real-time construction completion level with the planned stage completion benchmark on the timeline, analyzing the dependency path transmission, and evaluating deviations, comprehensive data on time-series deviations, process influence chains, and resource consumption deviations are obtained. The schedule deviation analysis list formed by comprehensive analysis has the characteristics of complete dimensions and accurate information. Then, by traversing and locating the target component, a visual attribute configuration scheme is formulated based on the deviation type and impact. The target component is rendered and merged with the original background component and the planned timeline and Gantt chart information are superimposed. The final 3D view of schedule deviation can intuitively and clearly present the spatial location, type, scope of impact, and temporal relationship of the deviation. This provides visualization support for managers to quickly and accurately grasp the project progress status, enhances the pertinence and efficiency of schedule deviation management, and helps to accurately implement digital control of construction project progress.

[0066] S5. Based on the deviation 3D view, tasks are derived from the project's progress control requirements data to obtain the project's task assignment tracking data. In this embodiment of the invention, the step of deriving tasks from the project's schedule control requirements data based on the deviation 3D view to obtain the project's task assignment and tracking data includes: The visual attributes and associated annotations of the three-dimensional view of the schedule deviation are reconstructed to obtain the specific control requirements of the project. By binding responsibilities to the specific management and control requirements, the tasks to be assigned to the project are obtained; Based on the progress management benchmark set, the tasks to be assigned are derived and pushed, and task confirmation feedback is received to obtain the task assignment status record of the project. By summarizing the tasks to be assigned and the task assignment status records, the task assignment tracking data of the project is obtained.

[0067] The visual attributes of target components in the 3D view of schedule deviations are analyzed. Color coding is assigned a specific correspondence based on the deviation type: components lagging behind are displayed in a specific dark color scheme, components ahead of schedule are displayed in a specific light color scheme, and components unaffected by deviations retain their basic color scheme. Transparency is adjusted according to the degree of deviation impact; components with more severe impacts have lower transparency and stronger visual presence, while components with minor impacts have higher transparency. Outline highlighting styles include continuous thick lines and intermittent flashing lines, corresponding to the urgency of the deviation. Simultaneously, complete information from associated annotations in the view is extracted. The deviation type is clearly marked as delayed, ahead of schedule, or resource mismatch; the impact scope details the number of components involved, related processes, and potentially affected construction areas; the spatial location is accurate to the component's 3D coordinates, floor, or structural area; and the corresponding planned timeline information includes the component's planned start time, planned completion node, and the time difference between the current time and the planned node. By matching the visual attributes of each target component with the above-mentioned annotations, such as components with dark colors, low transparency, and continuous bold outlines, which are labeled as lagging behind schedule and affecting core processes, it is clear that the core issue to be addressed by this deviation is to shorten the construction cycle of the component to avoid delays in subsequent processes. This abstract deviation description is transformed into specific and actionable progress control requirements, including increasing the number of construction teams for the component, extending daily working hours, allocating additional construction equipment, and optimizing the construction process to reduce redundant steps, thus obtaining the specific control requirements for the project.

[0068] Referring to the project's organizational structure, which includes core departments such as the Project Management Department, Construction Execution Department, Materials Support Department, and Technical Support Department, and in conjunction with the departmental responsibility division documents and job descriptions, the responsible entities for each specific control requirement are clearly defined. If the control requirement is to accelerate the construction progress of a specific component, the responsible entity is determined to be the corresponding professional construction team and team leader under the Construction Execution Department; if the control requirement is to adjust resource allocation to make up for deviations, the responsible entity is determined to be the Materials Support Department and the specific resource allocation specialist. Based on the core content of management and control requirements, the specific execution content of the tasks is clarified. For example, tasks to accelerate construction progress should include increasing the number of daily work shifts, optimizing specific aspects of the construction process, and increasing the frequency of on-site guidance by technical support personnel. The completion standards should be clearly defined as the construction stages and quality acceptance indicators that the components need to reach. The time requirements should strictly refer to the planned nodes in the progress management benchmark set, and the latest completion deadline and key time control points of the tasks should be clearly defined. The required resource support should be listed in detail, specifying the number and skill level of the manpower to be allocated, the model and usage time of the construction equipment, and the types and quantities of materials to be supplied. The identified responsible entities are bound to these specific execution requirements, completion standards, time nodes, and resource requirements one by one, forming a project task to be assigned with a clear structure, well-defined responsibilities, and complete elements.

[0069] Information directly related to each task to be assigned is extracted from the progress management baseline. The component plan timeline includes the complete planned cycle of the corresponding component, the time allocation of each construction stage, and the connection points with the preceding and following processes. The task plan sequence clarifies the task's order in the overall construction process, the prerequisites that must be completed, and the subsequent processes that can be connected. The resource allocation plan covers the pre-set manpower, equipment models and quantities, material specifications, and supply batches for the task. Based on this information, the priority of each task to be assigned is determined. Tasks that affect the progress of core processes, have a wide range of deviation impacts, and have tight time nodes are set to the highest priority, while tasks that only involve a single component and have a small impact on the overall progress are set to general priority. The push recipients are the previously bound responsible parties. Through the digital project management platform, detailed information on the tasks to be assigned is pushed to the corresponding responsible parties in a combination of in-system messages, mobile APP pushes, and SMS reminders. The detailed information includes the unique task number, associated component identifier, specific execution steps, completion standard details, latest completion deadline, required resource list, and application path. Simultaneously, a real-time feedback and reception mechanism is established to continuously monitor the operational responses of the responsible parties. When the responsible parties click to confirm receipt, the feedback result is recorded as received. If objections are raised, the specific objection content must be filled in on the platform. If the required resources cannot be delivered on time or the time requirement exceeds the construction capacity, the reasons for refusal must be explained in detail. The system automatically records the specific time of feedback submission, complete feedback opinions, and final confirmation status. If there are objections, the results of communication and coordination and status updates are recorded simultaneously to obtain the task assignment status record of the project.

[0070] The beneficial effects include: reconstructing requirements by analyzing the visual attributes of the 3D view of schedule deviations and the associated annotation content; ensuring that the specific control requirements of the project are aligned with the actual deviation situation, possessing clear pertinence and feasibility; binding responsibilities for specific control requirements; clearly defining the division of authority and responsibility for tasks to be assigned, avoiding shirking responsibility during execution; deriving and pushing tasks to be assigned based on the schedule management benchmark set and receiving confirmation feedback, ensuring the accuracy of task push and effective confirmation of execution intentions; completely recording the task assignment status and retaining initial execution information; and finally summarizing the tasks to be assigned and the task assignment status records to form task assignment tracking data, achieving traceable management of the entire task process, providing clear guidance for the implementation of schedule control measures, and strengthening the closed-loop and efficiency of digital management of construction project schedules.

[0071] S6. The schedule deviation 3D view and the task assignment tracking data are fused to obtain the project schedule management decision report.

[0072] In this embodiment of the invention, the process of fusing information from the three-dimensional view of the schedule deviation and the task assignment tracking data to obtain the project schedule management decision report includes: Based on the aforementioned three-dimensional view of schedule deviation, the visual attributes, spatial location information, and associated deviation types and values ​​of the key deviation components in the construction project are extracted to obtain the key deviation information of the project. The responsible party, task content, current execution status, and planned completion time of the task assignment tracking data are identified and refined to obtain a task execution summary of the project. Logically correlate the expected effects of deviation correction and the impact on schedule between the key deviation information and the task execution summary to obtain the correlation and impact relationship of the project. The development trend and effectiveness of task intervention in the three-dimensional view of the schedule deviation are identified and predicted to obtain the development trend prediction information of the project. The key deviation information, the task execution summary, the correlation and impact relationships, and the development trend prediction information are compiled in a structured manner to obtain the project progress management decision report.

[0073] Focusing on the deviation components in the 3D view that significantly affect the overall project schedule, we extract the visual attributes of these key deviation components one by one, including features such as color identification, transparency, and outline highlighting style to distinguish the deviation status. At the same time, we record their coordinate position in 3D space, their structural level, and their relative positional relationship with surrounding components. Then, we extract the deviation type and deviation value description corresponding to each key component from the view association annotations. We categorize and organize this information according to component identification to obtain the key deviation information of the project.

[0074] By reviewing all records in the task assignment tracking data, classifying them according to the construction stage and related component categories, identifying the responsible entity for each task, clarifying the responsible department, team, or specific person, extracting the core execution content, current execution stage, and pre-set planned completion deadline of the task, eliminating duplicate or irrelevant redundant information, and accurately refining and summarizing the core elements of each task to obtain a task execution summary for the project.

[0075] Each deviation item in the key deviation information is compared with the corresponding task in the task execution summary. The expected effect of the task on the deviation correction is analyzed to clarify the degree to which the deviation can be reduced or eliminated after the task is completed. At the same time, the impact of this correction effect on subsequent construction procedures and the overall progress rhythm is evaluated. A direct logical correspondence between deviation, correction task, and progress impact is established. The logical connection between each task and deviation correction and progress is clearly defined to obtain the correlation impact relationship of the project.

[0076] By continuously observing the changes in the deviations of key deviation components in the 3D view of schedule deviations, and combining historical deviation data with the current construction progress rate, it is determined whether the deviations are expanding, shrinking, or remaining stable. At the same time, based on the current execution status, resource allocation, and execution efficiency of the tasks in the task execution summary, the actual effect of the assigned tasks on deviation intervention is evaluated, the subsequent direction of deviation evolution is predicted, and whether task intervention can effectively guide the schedule back to the planned track is judged. These judgment results are systematically organized to obtain the project's development trend prediction information.

[0077] In accordance with the structured reporting standards for digital project management, the report uses key deviation information as the core deviation overview module, task execution summary as the task progress status module, correlation and impact relationship as the deviation and task correlation analysis module, and development trend prediction information as the future progress prediction module. Each module is sorted according to the importance of the information to ensure logical coherence and information complementarity between modules. All information is presented in clear and easy-to-understand text, forming a project progress management decision report that is structurally complete, detailed in content, and has decision-making reference value.

[0078] The beneficial effects include the accurate extraction of core information of critical deviation components from the 3D view of schedule deviations. The resulting critical deviation information can focus on the core issues of schedule management. The task execution summary obtained by identifying and refining task assignment tracking data clearly presents the core status of task progress. By establishing a logical connection between the expected effect of deviation correction and the impact on schedule, the correspondence between deviation and task intervention is clarified. Combined with the prediction of schedule development trends and the effectiveness of task intervention, it provides forward-looking support for decision-making. Finally, the schedule management decision report, which is structured and compiled from various key information, is comprehensive, logically clear, and has strong practical reference value. It can provide all-round data support for accurate decision-making in construction project schedule management, improve the foresight and scientific nature of schedule control, and help the efficient implementation of digital management of project schedule.

[0079] like Figure 2 The diagram shown is a functional module diagram of a construction progress visualization management system provided in an embodiment of the present invention.

[0080] The construction progress visualization management system 100 of this invention can be installed in an electronic device. Depending on the functions implemented, the construction progress visualization management system 100 may include a progress benchmark construction module 101, a site visual annotation module 102, a completion level determination module 103, a deviation 3D rendering module 104, a control task derivation module 105, and a decision report generation module 106. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, stored in the memory of the electronic device.

[0081] In this embodiment, the functions of each module / unit are as follows: The progress benchmark construction module 101 is used to perform bidirectional mapping and binding on the construction progress plan list of the project to obtain the progress management benchmark set of the project. The on-site visual annotation module 102 is used to associate and annotate the on-site image data of the project based on the progress management benchmark set, so as to obtain the on-site visual dataset of the project. The completion level determination module 103 is used to perform multi-level visual determination on the on-site visual data to obtain the real-time construction completion level of the project. The deviation 3D rendering module 104 is used to perform multi-dimensional matching between the real-time construction completion level and the planned stage completion benchmark of the progress management benchmark set to obtain the progress deviation analysis list of the project, and perform differentiated rendering to obtain a 3D view of the progress deviation of the project. The control task derivation module 105 is used to derive tasks from the project progress control requirement data based on the deviation three-dimensional view, and obtain the project task assignment tracking data. The decision report generation module 106 is used to fuse the schedule deviation three-dimensional view and the task assignment tracking data to obtain the project schedule management decision report.

[0082] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0083] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0084] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0085] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0086] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for visual management of construction progress in building engineering, characterized in that, The method includes: S1. Perform a two-way mapping and binding on the construction schedule plan list of the project to obtain the schedule management benchmark set of the project. S2. Based on the progress management benchmark set, the on-site image data of the project are associated and labeled to obtain the on-site visual dataset of the project. S3. Perform multi-level visual judgment on the on-site visual data to obtain the real-time construction completion level of the project. S4. Perform multi-dimensional matching between the real-time construction completion level and the planned phase completion benchmark of the progress management benchmark set to obtain the progress deviation analysis list of the project, and perform differentiated rendering to obtain a three-dimensional view of the progress deviation of the project. S5. Based on the deviation 3D view, tasks are derived from the project's progress control requirements data to obtain the project's task assignment tracking data. S6. The schedule deviation 3D view and the task assignment tracking data are fused to obtain the project schedule management decision report.

2. The method for visual management of construction progress as described in claim 1, characterized in that, The bidirectional mapping and binding of the project's construction schedule list yields the project's schedule management baseline set, including: Read the building information file of the project to obtain the component information set of the project; The construction schedule list of the project is associated and bound with the component information set to obtain the task component association relationship of the project. Based on the task component association relationship, the task schedule sequence of the construction progress plan list is mapped to the component information set to obtain the component schedule timeline of the project. By integrating the component information set, the construction schedule plan list, the task component association relationship, and the component plan timeline, the project schedule management benchmark set is obtained.

3. The method for visual management of construction progress as described in claim 1, characterized in that, The process of associating and labeling on-site image data of the project based on the progress management benchmark set to obtain the on-site visual dataset of the project includes: Based on the aforementioned progress management benchmark set, directional visual acquisition is performed on the construction site of the project to obtain the original image frames of the project. Spatial projection analysis is performed on the original image frames to obtain a list of suspected components of the project. Based on the list of suspected components and the progress management benchmark, the construction stage is inferred from the original image frames to obtain the stage record data of the project. The original image frames are associated with and aggregated with the stage-recorded data to obtain the on-site visual dataset of the project.

4. The method for visual management of construction progress as described in claim 1, characterized in that, The process of performing multi-level visual assessments on the on-site visual data to obtain the real-time construction completion level of the project includes: Pixel semantic segmentation is performed on the construction area boundary of the on-site visual data to obtain a preliminary segmentation map of the project. Contour extraction is performed on the geometric features of the components in the primary segmentation image to obtain the instance recognition result of the project. Based on the component surface texture, geometric integrity, and surrounding construction traces features in the instance identification results, the status of the building project is determined to obtain the real-time construction completion level of the project.

5. The method for visual management of construction progress as described in claim 1, characterized in that, The process involves multi-dimensional matching of the real-time construction completion level and the planned phase completion benchmark of the schedule management benchmark set to obtain a schedule deviation analysis list for the project, followed by differentiated rendering to obtain a three-dimensional view of the project's schedule deviation, including: The real-time construction completion level and the planned phase completion benchmark in the progress management benchmark set are compared and aligned on the time axis to obtain the time sequence deviation data of the project. Based on the aforementioned schedule management benchmark set, dependency path propagation analysis is performed on the timing deviation data to obtain the process influence chain of the project. Deviation assessment is performed on the time-series deviation data and the process influence chain to obtain the resource consumption deviation data of the project. By comprehensively analyzing the timing deviation data, the process influence chain, and the resource consumption deviation data, a schedule deviation analysis list for the project is obtained. Based on the schedule deviation analysis list, the visualization environment of the project is rendered differently to obtain a three-dimensional view of the project schedule deviation.

6. The method for visual management of construction progress as described in claim 5, characterized in that, The formula for calculating the weight of the overall deviation impact in the schedule deviation analysis list is as follows: ； In the formula, The weighting of the combined deviation effect, The time-series deviation data, The absolute value of the time series deviation data. This represents the maximum permissible timing deviation of the timing deviation data. The preset time decay coefficient, This is the time difference between the current analysis point in time and the baseline for the completion of the aforementioned planning phase. This is the quantification value of the impact of the process on the chain. The maximum value of the chain quantization value affected by the process is [value missing]. The preset process influences the chain dimension weight coefficient. The preset influence chain length attenuation coefficient, The influence chain length of the process-affected chain. The resource consumption deviation data, The absolute value of the deviation of the resource consumption from the data. This refers to the maximum allowable resource consumption deviation value for the aforementioned resource consumption deviation data. The preset resource consumption deviation dimension weight coefficient, The preset weighting coefficients for the time series deviation dimension.

7. The method for visual management of construction progress as described in claim 5, characterized in that, Based on the schedule deviation analysis list, the visualization environment of the project is rendered differently to obtain a three-dimensional view of the project's schedule deviation, including: Based on the schedule deviation analysis list, the visualization environment of the project is traversed and located to obtain the location information of the target components of the project. Based on the deviation types and impacts of the schedule deviation analysis list, parameter mapping is performed on the target component location information to obtain the visual attribute configuration scheme of the project. Based on the aforementioned visual attribute configuration scheme, the target component location information is rendered and fused with the original background component in the visualization environment to obtain the three-dimensional scene of the project. Extract the planned timeline information and planned task Gantt chart information of the schedule deviation analysis list from the schedule management benchmark set; Based on the three-dimensional scene, the planned timeline information and the planned task Gantt chart information are synchronously overlaid to obtain a three-dimensional view of the project's schedule deviation.

8. The method for visual management of construction progress as described in claim 1, characterized in that, Based on the deviation 3D view, task derivation is performed on the project's schedule control requirements data to obtain the project's task assignment and tracking data, including: The visual attributes and associated annotations of the three-dimensional view of the schedule deviation are reconstructed to obtain the specific control requirements of the project. By binding responsibilities to the specific management and control requirements, the tasks to be assigned to the project are obtained; Based on the progress management benchmark set, the tasks to be assigned are derived and pushed, and task confirmation feedback is received to obtain the task assignment status record of the project. By summarizing the tasks to be assigned and the task assignment status records, the task assignment tracking data of the project is obtained.

9. The method for visual management of construction progress as described in claim 1, characterized in that, The process of fusing information from the 3D view of the schedule deviation and the task assignment tracking data to obtain the project schedule management decision report includes: Based on the aforementioned three-dimensional view of schedule deviation, the visual attributes, spatial location information, and associated deviation types and values ​​of the key deviation components in the construction project are extracted to obtain the key deviation information of the project. The responsible party, task content, current execution status, and planned completion time of the task assignment tracking data are identified and refined to obtain a task execution summary of the project. Logically correlate the expected effects of deviation correction and the impact on schedule between the key deviation information and the task execution summary to obtain the correlation and impact relationship of the project. The development trend and effectiveness of task intervention in the three-dimensional view of the schedule deviation are identified and predicted to obtain the development trend prediction information of the project. The key deviation information, the task execution summary, the correlation and impact relationships, and the development trend prediction information are compiled in a structured manner to obtain the project progress management decision report.

10. A construction project progress visualization management system, characterized in that, The system, used to implement the construction progress visualization management method for building engineering as described in claim 1, comprises: The schedule baseline construction module is used to perform bidirectional mapping and binding of the construction schedule plan list of the project to obtain the schedule management baseline set of the project. The on-site visual annotation module is used to associate and annotate the on-site image data of the project based on the progress management benchmark set, so as to obtain the on-site visual dataset of the project. The completion level determination module is used to perform multi-level visual determination on the on-site visual data to obtain the real-time construction completion level of the project. The deviation 3D rendering module is used to perform multi-dimensional matching between the real-time construction completion level and the planned phase completion benchmark of the progress management benchmark set to obtain the progress deviation analysis list of the project, and perform differentiated rendering to obtain a 3D view of the progress deviation of the project. The task derivation module is used to derive tasks from the project's progress control requirements data based on the deviation 3D view, thereby obtaining the project's task assignment and tracking data. The decision report generation module is used to fuse the information from the three-dimensional view of the schedule deviation and the task assignment tracking data to obtain the schedule management decision report of the project.

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