An engineering supervision project progress control method based on big data analysis

Abstract

The application discloses an engineering supervision project progress control method based on big data analysis, which comprises the following steps: collecting construction log data, process execution data, resource waiting data and supervision inspection data, and generating engineering time sequence state data set; identifying construction time advancing imbalance area, and generating engineering time tension topology structure; forming time tension aggregation area, and generating engineering time fold structure; tracking time fold propagation process, and generating engineering time fold propagation chain; executing construction period rebound capacity and time release capacity evaluation, and generating engineering time rebound candidate path set; identifying time blockage island, executing chain breaking release and blockage diffusion cutting, and generating engineering time blockage removal structure; executing dynamic release and blockage update, and generating engineering supervision project progress control result. The application utilizes the time tension propagation analysis method, realizes engineering progress dynamic blockage control, and has the advantages of accurate propagation identification and high progress recovery efficiency.

Description

Technical Field

[0001] This invention relates to the field of project progress control in engineering supervision, and in particular to a method for project progress control in engineering supervision based on big data analysis. Background Technology

[0002] As engineering projects continue to expand in scale and construction procedures become increasingly complex, engineering supervision projects are easily affected by factors such as fluctuations in construction progress, accumulated resource waiting time, and delayed supervision response during actual implementation. This leads to a wider spread of project delays. Currently, most existing engineering supervision progress control methods are based on fixed plan comparison, manual inspection and statistics, or analysis of single progress parameters. They lack the ability to model the dynamic relationships between construction procedures as a whole, making it difficult to effectively analyze the problem of continuous project delay propagation in complex construction scenarios.

[0003] Existing technologies typically only make static adjustments to individual construction procedures or localized delays, lacking the ability to analyze the correlation between time-related delays, schedule delivery, and resource waiting processes. They cannot identify areas of time tension accumulation or time-related delay propagation relationships, and it is difficult to perform dynamic chain-breaking and delay update processing on the delay propagation path. This leads to the continuous spread of schedule delays between construction procedures, thereby affecting the overall progress control effect of the engineering supervision project. Summary of the Invention

[0004] One objective of this invention is to propose a project progress control method for engineering supervision based on big data analysis. This invention utilizes the time tension propagation analysis method to achieve dynamic blocking control of project progress, and has the advantages of accurate propagation identification and high progress recovery efficiency.

[0005] A method for controlling the progress of engineering supervision projects based on big data analysis according to an embodiment of the present invention includes the following steps: Collect construction log data, process execution data, resource waiting data, and supervision and inspection data, and preprocess them to generate a project time sequence status dataset; Perform time coupling analysis on the process progress status, resource waiting status and supervision response status in the project time sequence status dataset, identify the construction time progress imbalance area, generate time tension nodes, establish time tension connection paths based on process dependencies, and generate the project time tension topology; For the engineering time tension topology, the time squeezing intensity, time blocking intensity and schedule delivery intensity are calculated by combining resource waiting data, the time tension accumulation area is identified, and the engineering time wrinkle structure is generated. The propagation process of time folds is traced along the time tension connection path in the engineering time fold structure, and the direction of project delay spread, time overlap area and time crack node are identified by combining the supervision and inspection data, so as to generate the engineering time fold propagation chain; The schedule rebound capability and time release capability are evaluated for each propagation path in the engineering time wrinkle propagation chain, and a set of candidate engineering time rebound paths is generated. Based on the set of candidate paths for engineering time rebound, identify time blockage islands, and perform chain break release and blockage diffusion cut-off on the time blockage propagation relationship to generate an engineering time blockage release structure; Based on the engineering time blockage release structure, the time tension status of construction procedures is dynamically released and blocked is updated to generate the project progress control results for engineering supervision.

[0006] Optionally, the construction log data specifically includes the start time of the process, the completion time of the process, and the stoppage record; the process execution data specifically includes the process number, the identifier of the preceding process, the identifier of the subsequent process, and the process completion status; the resource waiting data specifically includes the waiting time of personnel, the waiting time of equipment, the waiting time of materials, and the queuing time of the process; the supervision and inspection data specifically includes abnormal stoppage records, rectification notice records, and acceptance rejection records; the preprocessing specifically includes time alignment, missing data completion, anomaly removal, and time sorting.

[0007] Optionally, the generation of the engineering time tension topology specifically includes: Extract the process progress status, resource waiting status and supervision response status corresponding to each construction process from the project time sequence status dataset, and perform association and organization of each status according to the construction time sequence to generate a construction time status set; Perform time coupling analysis on the process progress status, resource waiting status and supervision response status in the construction time status set, calculate the process progress time difference, resource waiting time difference and supervision response time difference between each construction process, and generate time coupling results; Based on the time coupling results, clustering identification is performed on construction processes that have process lags, resource waiting accumulations, and supervision response delays within continuous time intervals to generate construction time imbalance regions; For each area of ​​unbalanced construction time progress, extract the stagnant state of process progress, the accumulated state of resource waiting and the delayed state of supervision response in the corresponding area, perform correlation analysis on the degree of time clustering between each state, and generate time tension nodes; Based on the identifiers of preceding and subsequent processes in the process execution data, establish the process dependencies between each time tension node, and establish time tension connection paths according to the process execution order; Perform path association mapping on each time tension node in the time tension connection path, establish the propagation association relationship between time tension nodes, and generate the engineering time tension topology.

[0008] Optionally, the generation of the engineering time fold structure specifically includes: Extract each time tension node and its corresponding time tension connection path from the engineering time tension topology, and extract personnel waiting time, equipment waiting time, material waiting time and process queuing time from resource waiting data to generate a time waiting status set. Based on the set of time waiting states, the cumulative degree of time waiting, the degree of time lag, and the degree of process stagnation of each time tension node in a continuous time interval are statistically analyzed. Time correlation calculation is performed on each time tension node to generate time compression intensity. For adjacent time-tension nodes in each time-tension connection path, calculate the degree of continuous diffusion and blockage propagation of resource waiting status along the time-tension connection path, and generate time-blockage intensity. Based on the process dependencies, correlation analysis is performed on the scope, level, and duration of schedule delay propagation between each time tension node to generate schedule propagation intensity. Perform path clustering analysis on time compression intensity, time blockage intensity, and schedule delivery intensity to identify time tension clustering regions where time tension nodes are continuously clustered and resource waiting status continues to spread. For each region where time tension is concentrated, the time overlap state, time blockage state, and schedule transfer state between time tension nodes within the region are extracted. Regional association mapping is performed on each state to generate a project time fold structure.

[0009] Optionally, the generation of the engineering time fold propagation chain specifically includes: Based on the time tension connection paths in the engineering time fold structure, propagation arrangement is performed on each time tension node according to the path connection order to generate a time fold propagation path set. For each time tension node in the time wrinkle propagation path set, the time compression intensity, time blockage intensity, and schedule transfer intensity of the corresponding node are statistically analyzed, and propagation correlation analysis is performed along the time tension connection path to generate time wrinkle propagation results; Based on the propagation results of time wrinkles, the continuous diffusion direction of time compression intensity and time blockage intensity along the time tension connection path is identified, and path tracing is performed on the project delay transmission direction between each time tension node to generate the project delay diffusion direction. By combining abnormal work stoppage records, rectification notice records and acceptance rejection records in the supervision and inspection data, areas where time tension nodes are continuously clustered and time blockage intensity is continuously accumulated are identified, and time overlay areas are generated. For each time-overlapping region, the process stagnation time, resource waiting time, and acceptance rejection duration of the corresponding time tension nodes are statistically analyzed. The execution regions of nodes with abnormal intensity changes corresponding to the time tension nodes are identified, and time crack nodes are generated. The propagation chain association is constructed for the direction of project delay propagation, time overlap area and time crack node, generating the project time wrinkle propagation chain.

[0010] Optionally, the generation of the engineering time bounce candidate path set specifically includes: Based on the time tension connection path in the propagation chain of engineering time wrinkles, the propagation path between each time crack node is divided into path connections to generate a propagation path set. For each propagation path in the propagation path set, the time compression intensity, time blockage intensity, and schedule transfer intensity corresponding to each time tension node within the path are statistically analyzed, and the change value of each intensity in the path direction is calculated to generate the path intensity change results. Based on the path intensity change results, calculate the time blockage intensity decrease value, the schedule transmission intensity decrease value, and the time compression intensity release value in each propagation path to generate the schedule rebound capability; By combining the resource waiting status change results, process progress status recovery results, and supervision response status recovery results in each propagation path, the duration of time release and the number of time release covered nodes in each propagation path are statistically analyzed to generate time release capability. Perform path association calculations on schedule rebound capability and time release capability, identify propagation paths that enable synchronous enhancement of schedule rebound capability and time release capability, and generate candidate paths for time rebound. The candidate paths for time rebound are sorted according to the decrease in time blocking intensity and the number of time release covered nodes, and a set of candidate paths for engineering time rebound is generated.

[0011] Optionally, the generation of the engineering time blocking release structure specifically includes: Based on each time rebound candidate path in the engineering time rebound candidate path set, the cumulative value of time blockage intensity, the diffusion value of construction period transmission intensity, and the cluster value of time compression intensity in the corresponding propagation path are statistically analyzed, and path clustering analysis is performed on the corresponding time tension nodes to generate time blockage islands. For each time-blocking island, calculate the propagation direction of time blockage intensity, the propagation direction of schedule delivery intensity, and the diffusion direction of time squeeze intensity between time tension nodes within the island, and perform path association calculations for each propagation direction to generate time blockage propagation relationships; Based on the temporal blocking propagation relationship, identify the temporal tension nodes whose temporal blocking intensity continuously spreads along the temporal tension connection path, and count the number of nodes covered by the blocking propagation between the corresponding temporal tension nodes to generate a set of blocking diffusion nodes; Perform path breaking processing on the time tension connection paths between time tension nodes in the blockage and diffusion node set, remove the blockage propagation association between the corresponding time tension nodes, and generate a path breaking and release result. For each time tension node in the chain break release result, the time blocking intensity, schedule transfer intensity and time squeezing intensity of the corresponding node are recalculated, and the number of diffusion coverage nodes corresponding to each intensity after recalculation is counted to generate the blocking diffusion cut-off result. Perform structural association construction on the chain break release result and the blockage diffusion cut-off result to generate an engineering time blockage release structure.

[0012] Optionally, the generation of the project progress control results includes: Based on the engineering time blockage relief structure, the time blockage intensity change value, schedule transfer intensity change value, and time compression intensity change value corresponding to each time tension node are statistically analyzed to generate the time tension state change results; For each time tension node in the time tension state change results, the time blockage propagation range, schedule transfer range and time squeeze diffusion range between the corresponding construction procedures are recalculated to generate construction procedure blockage update results. Based on the construction process blockage update results, perform recovery calculations on the corresponding construction process's progress status, resource waiting status, and supervision response status to generate construction process recovery results; For each construction procedure in the construction procedure recovery result, the procedure dependency relationship between the corresponding time tension nodes is re-established, and the time tension connection path is reconstructed according to the construction procedure recovery order to generate the updated time tension connection path. Based on the updated time tension connection path, the time blockage intensity, schedule transfer intensity and time compression intensity between the corresponding time tension nodes are recalculated to generate the updated time tension status. Perform dynamic release calculations on the updated time tension state, identify time tension nodes where the time blockage intensity decreases and the schedule delivery intensity weakens, and generate dynamic release results for construction procedures. Based on the dynamic release results of construction procedures, the time blockage propagation relationship between corresponding construction procedures is updated to generate the progress control results of the engineering supervision project.

[0013] The beneficial effects of this invention are: This invention proposes a project progress control method based on big data analysis. By uniformly processing construction log data, process execution data, resource waiting data, and supervision inspection data, a project time-series status dataset is constructed. Furthermore, a project time tension topology, a project time fold structure, and a project time fold propagation chain are established. This enables a holistic correlation analysis of the propagation process of time blockages, the diffusion process of project delays, and the diffusion process of resource waiting between construction processes. Compared with existing technologies that rely solely on fixed schedules or manual experience for project progress supervision, this invention can continuously identify the propagation coupling relationship between process lags, resource waiting accumulation, and supervision response delays from the perspective of the dynamic propagation relationship between construction processes. This improves the accuracy and real-time performance of identifying project progress anomalies in complex construction scenarios.

[0014] This invention constructs a set of candidate paths for project time rebound, a time congestion island, and a project time congestion removal structure. It performs chain-breaking and congestion propagation interruption processing on time congestion propagation relationships, achieving dynamic intervention and propagation control of the project delay propagation chain. By re-establishing the restored process dependencies and reconstructing the time tension connection path, this invention can dynamically update the propagation range, propagation path, and congestion status between construction processes. This gradually weakens and continuously releases the intensity of time congestion, schedule delivery intensity, and time pressure along the propagation path, effectively reducing the overall construction risk caused by the continuous propagation of project delays. Compared to traditional static adjustment methods, this invention can form a dynamic recovery propagation mechanism between construction processes, improving the overall progress control capability, construction resource coordination capability, and project recovery efficiency of engineering supervision projects. Attached Figure Description

[0015] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of an engineering supervision project progress control method based on big data analysis proposed in this invention; Figure 2 This is a time-blocking island propagation structure diagram for an engineering supervision project schedule control method based on big data analysis proposed in this invention. Figure 3 This is a diagram illustrating the blocking propagation and chain breakage release of a project progress control method for engineering supervision based on big data analysis proposed in this invention. Detailed Implementation

[0016] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.

[0017] refer to Figures 1-3 A method for controlling the progress of engineering supervision projects based on big data analysis includes the following steps: Collect construction log data, process execution data, resource waiting data, and supervision and inspection data, and preprocess them to generate a project time sequence status dataset; Perform time coupling analysis on the process progress status, resource waiting status and supervision response status in the project time sequence status dataset, identify the construction time progress imbalance area, generate time tension nodes, establish time tension connection paths based on process dependencies, and generate the project time tension topology; For the engineering time tension topology, the time squeezing intensity, time blocking intensity and schedule delivery intensity are calculated by combining resource waiting data, the time tension accumulation area is identified, and the engineering time wrinkle structure is generated. The propagation process of time folds is traced along the time tension connection path in the engineering time fold structure, and the direction of project delay spread, time overlap area and time crack node are identified by combining the supervision and inspection data, so as to generate the engineering time fold propagation chain; The schedule rebound capability and time release capability are evaluated for each propagation path in the engineering time wrinkle propagation chain, and a set of candidate engineering time rebound paths is generated. Based on the set of candidate paths for engineering time rebound, identify time blockage islands, and perform chain break release and blockage diffusion cut-off on the time blockage propagation relationship to generate an engineering time blockage release structure; Based on the engineering time blockage release structure, the time tension status of construction procedures is dynamically released and blocked is updated to generate the project progress control results for engineering supervision.

[0018] In this embodiment, the construction log data specifically includes the start time of the process, the completion time of the process, and the stoppage record; the process execution data specifically includes the process number, the identifier of the preceding process, the identifier of the subsequent process, and the completion status of the process; the resource waiting data specifically includes the waiting time of personnel, the waiting time of equipment, the waiting time of materials, and the queuing time of the process; the supervision and inspection data specifically includes abnormal stoppage records, rectification notice records, and acceptance rejection records; the preprocessing specifically includes time alignment, missing information completion, anomaly removal, and time sorting.

[0019] In this embodiment, the generation of the engineering time tension topology specifically includes: Extract the process progress status, resource waiting status and supervision response status corresponding to each construction process from the project time sequence status dataset, and perform association and organization of each status according to the construction time sequence to generate a construction time status set; Perform time coupling analysis on the process progress status, resource waiting status and supervision response status in the construction time status set, calculate the process progress time difference, resource waiting time difference and supervision response time difference between each construction process, and generate time coupling results; The generation of time coupling results specifically includes: The system acquires the process progress status, resource waiting status, and supervision response status corresponding to each construction process in the construction time status set, and establishes the time correlation between each construction process according to the construction time sequence; it calculates the process progress time difference between each construction process by statistically analyzing the process start time interval, process completion time interval, and downtime duration between adjacent construction processes; it calculates the resource waiting time difference by combining the personnel waiting time, equipment waiting time, material waiting time, and process queuing time in the resource waiting status; it calculates the resource waiting time difference by statistically analyzing the cumulative resource waiting time difference and waiting duration difference between each construction process; it calculates the supervision response time difference by statistically analyzing the supervision response interval and response duration between corresponding construction processes based on the abnormal downtime records, rectification notice records, and acceptance rejection records in the supervision response status; it performs time correlation calculation on the process progress time difference, resource waiting time difference, and supervision response time difference, statistically analyzes the time difference correlation value between each construction process, and generates time coupling results. Based on the time coupling results, clustering identification is performed on construction processes that have process lags, resource waiting accumulations, and supervision response delays within continuous time intervals to generate construction time imbalance regions; The generation of areas of imbalance in construction time progression specifically includes: This process acquires the differences in process advancement time, resource waiting time, and supervision response time for each construction process in the time coupling results, and establishes the time correlation between each construction process according to the construction time sequence. It statistically analyzes the changes in the time interval between each construction process within a continuous time interval, identifies construction processes with continuously increasing time intervals, and generates process advancement lag results. Based on resource waiting time differences, it statistically analyzes the cumulative values ​​of personnel waiting time, equipment waiting time, material waiting time, and process queuing time between corresponding construction processes, generating cumulative resource waiting results. Combined with supervision response time differences, it statistically analyzes the duration of abnormal work stoppages, rectification and processing, and acceptance rejections between corresponding construction processes, generating supervision response delay results. It performs time cluster analysis on the process advancement lag results, cumulative resource waiting results, and supervision response delay results to identify construction process regions where process advancement lag, cumulative resource waiting, and supervision response delays coexist within a continuous time interval, generating construction time advancement imbalance regions. For each area of ​​unbalanced construction time progress, extract the stagnant state of process progress, the accumulated state of resource waiting and the delayed state of supervision response in the corresponding area, perform correlation analysis on the degree of time clustering between each state, and generate time tension nodes; The generation of time tension nodes specifically includes: The system acquires the status of work process stagnation, resource waiting accumulation, and supervision response delay in each construction time imbalance area, and calculates the duration and distribution of each status within a continuous time interval. Based on the stagnation duration and distribution of the work process stagnation status, it calculates the stagnation cluster range between corresponding construction processes, generating a work process stagnation cluster value. Combining the cumulative values ​​of personnel waiting time, equipment waiting time, material waiting time, and work process queuing time in the resource waiting accumulation status, it calculates the cumulative waiting distribution range between corresponding construction processes, generating a resource waiting accumulation cluster value. Based on the duration of abnormal work stoppages, rectification and processing, and acceptance rejections in the supervision response delay status, the distribution range of response delays between corresponding construction procedures is statistically analyzed to generate supervision response delay cluster values; time correlation calculations are performed on the process progress stagnation cluster values, resource waiting accumulation cluster values, and supervision response delay cluster values ​​to statistically analyze the time cluster range and cluster duration between corresponding construction procedures and generate time cluster degree; construction procedure nodes where the time cluster degree continuously increases and the process progress stagnation cluster value, resource waiting accumulation cluster value, and supervision response delay cluster value accumulate synchronously are identified to generate time tension nodes; Based on the identifiers of preceding and subsequent processes in the process execution data, establish the process dependencies between each time tension node, and establish time tension connection paths according to the process execution order; Perform path association mapping on each time tension node in the time tension connection path to establish the propagation association relationship between time tension nodes and generate the engineering time tension topology; The generation of engineering time-tension topology specifically includes: Based on the path connection order in the time tension connection path, path arrangement is performed on each time tension node, and the process dependency correspondence between time tension nodes is established according to the process execution order from the preceding construction process to the subsequent construction process. For the process dependency correspondence between adjacent time tension nodes, the order of changes in process start time, resource waiting time, and supervision response time between corresponding construction processes are statistically analyzed. Based on each change order, the direction of schedule transmission, the direction of resource waiting diffusion, and the direction of supervision response transmission are determined, generating node propagation direction results. Combined with the process progress stagnation aggregation value and resource waiting accumulation value corresponding to each time tension node, the results are analyzed. The system calculates the clustered values ​​of the time tension nodes and the supervisor's response delay, and statistically analyzes the number of clustered covered nodes, the duration of clustering, and the number of clustered diffusion nodes between the corresponding time tension nodes to generate node propagation association results. It then performs path association mapping on the node propagation direction results and node propagation association results to establish corresponding schedule delivery associations, resource waiting diffusion associations, and supervisor's response delivery associations between time tension nodes, generating propagation association relationships. Based on these propagation association relationships, it statistically analyzes the number of path connections, the number of propagation covered nodes, and the duration of propagation between each time tension node, and establishes node connection relationships according to the number of propagation covered nodes and the duration of propagation, generating the project time tension topology.

[0020] In this embodiment, the generation of the engineering time fold structure specifically includes: Extract each time tension node and its corresponding time tension connection path from the engineering time tension topology, and extract personnel waiting time, equipment waiting time, material waiting time and process queuing time from resource waiting data to generate a time waiting status set. Based on the set of time waiting states, the cumulative degree of time waiting, the degree of time lag, and the degree of process stagnation of each time tension node in a continuous time interval are statistically analyzed. Time correlation calculation is performed on each time tension node to generate time compression intensity. The generation of time-dependent compressive strength specifically includes: Based on the waiting time of personnel, equipment, materials, and process queuing time in the time waiting status set, the cumulative waiting time and waiting duration of each time tension node within a continuous time interval are calculated to generate a cumulative time waiting result. Combining the process start-up interval, process completion interval, and downtime duration between corresponding time tension nodes, the change in process progress interval between each time tension node is calculated to generate a time progress lag result. Based on the downtime, process queuing duration, and incomplete process duration of each construction process corresponding to each time tension node, the cumulative process stagnation time between each time tension node is calculated to generate a process stagnation result. Time correlation calculations are performed on the cumulative time waiting result, time progress lag result, and process stagnation result to calculate the superimposed change in the cumulative duration of time, the change in time progress interval, and the cumulative process stagnation time between corresponding time tension nodes within a continuous time interval, generating a time compression intensity. For adjacent time-tension nodes in each time-tension connection path, calculate the degree of continuous diffusion and blockage propagation of resource waiting status along the time-tension connection path, and generate time-blockage intensity. The generation of time-blocking intensity specifically includes: Based on the path connection order in each time tension connection path, the changes in personnel waiting time, equipment waiting time, material waiting time, and process queuing time between adjacent time tension nodes are statistically analyzed to generate resource waiting change results. Combining these resource waiting change results, the number of nodes whose personnel waiting time, equipment waiting time, material waiting time, and process queuing time are greater than those of preceding time tension nodes is statistically analyzed to generate resource waiting persistence diffusion results. Based on the process dependencies between adjacent time tension nodes, the number of nodes whose process start delay, process completion delay, and shutdown duration are greater than those of preceding construction processes is statistically analyzed to generate congestion propagation results. Path association calculations are performed on the resource waiting persistence diffusion results and congestion propagation results to statistically analyze the cumulative increase in waiting time, the number of delay propagation nodes, and the duration of congestion along the time tension connection path, generating time congestion intensity. Based on the process dependencies, correlation analysis is performed on the scope, level, and duration of schedule delay propagation between each time tension node to generate schedule propagation intensity. The generation of schedule carryover strength specifically includes: Based on the process dependencies between each time tension node, the start-up delay, completion delay, and downtime duration of the preceding construction processes are statistically analyzed. Combining the start-up time, completion time, and completion status of subsequent construction processes, the delay duration when the start-up time of a subsequent construction process is later than the planned completion time of a preceding construction process is statistically analyzed, generating a schedule delay propagation result. Based on the schedule delay propagation result, the number of construction processes with persistent schedule delays along the time tension connection path is statistically analyzed, generating a schedule delay propagation hierarchy result. Combining the schedule delay propagation result, the number of construction processes causing schedule delays and their duration are statistically analyzed, generating a schedule delay propagation range result. Path association calculations are performed on the schedule delay propagation hierarchy result and the schedule delay propagation range result to statistically analyze the schedule delay propagation hierarchy, the number of delayed construction processes, and the duration of schedule delays between each time tension node, generating a schedule propagation intensity. Perform path clustering analysis on time compression intensity, time blockage intensity, and schedule delivery intensity to identify time tension clustering regions where time tension nodes are continuously clustered and resource waiting status continues to spread. The generation of time tension clustering regions specifically includes: Based on the path connection order in the time tension connection path, the changes in time compression intensity, time blockage intensity, and schedule delivery intensity corresponding to adjacent time tension nodes are statistically analyzed to generate path intensity change results. Combining these path intensity change results, the number of time tension nodes with continuously accumulating time compression intensity, time blockage intensity, and schedule delivery intensity within a continuous time interval is statistically analyzed to generate continuous time tension aggregation results. Based on the changes in personnel waiting time, equipment waiting time, material waiting time, and process queuing time in the resource waiting state, the number of nodes whose resource waiting state spreads along the time tension connection path to subsequent time tension nodes is statistically analyzed to generate continuous resource waiting diffusion results. Path association calculations are performed on the continuous time tension aggregation results and the continuous resource waiting diffusion results to statistically analyze the duration of continuous aggregation of time tension nodes, the number of nodes whose resource waiting state spreads, and the cumulative increase in resource waiting time. Time tension connection path regions where time tension nodes are continuously aggregated and whose resource waiting state continuously spreads to subsequent time tension nodes are identified, generating time tension aggregation regions. For each region where time tension is concentrated, the time overlap state, time blockage state, and schedule delivery state between time tension nodes within the region are extracted. Region association mapping is performed on each state to generate the engineering time fold structure. The generation of engineering time-wrinkled structures specifically includes: Based on the time tension connection paths within each time tension cluster region, the time tension nodes within each region are arranged according to the path connection order to establish the regional connection relationships between the corresponding time tension nodes. Combining the time compression intensity, time blocking intensity, and schedule transmission intensity corresponding to each time tension node, the duration of the corresponding intensity's continuous existence within a continuous time interval and the number of nodes that co-occur are statistically analyzed to generate a time overlay state. Based on the time blocking intensity corresponding to each time tension node, the number of nodes where the time blocking intensity continuously spreads along the time tension connection path and the duration of the blocking are statistically analyzed to generate a time blocking state. Combining the schedule transmission intensity corresponding to each time tension node, the number of construction procedures where schedule delays continuously propagate along the time tension connection path and the duration of the schedule delays are statistically analyzed to generate a schedule transmission state. Regional association mapping is performed on the time overlay state, time blocking state, and schedule transmission state to statistically analyze the number of time intervals where multiple states continuously overlap, the number of nodes where multiple states co-propagate, and the duration of multiple state intersections within the corresponding time tension cluster region, generating an engineering time fold structure.

[0021] In this embodiment, the generation of the engineering time fold propagation chain specifically includes: Based on the time tension connection paths in the engineering time fold structure, propagation arrangement is performed on each time tension node according to the path connection order to generate a time fold propagation path set. For each time tension node in the time wrinkle propagation path set, the time compression intensity, time blockage intensity, and schedule transfer intensity of the corresponding node are statistically analyzed, and propagation correlation analysis is performed along the time tension connection path to generate time wrinkle propagation results; The generation of the time-warp propagation results specifically includes: Based on the path connection order in the time-wrinkle propagation path set, the changes in time compression intensity, time blockage intensity, and schedule delivery intensity corresponding to each time tension node within a continuous time interval are statistically analyzed to generate intensity change results. Combining the time tension connection paths between adjacent time tension nodes, the number of nodes where subsequent time tension nodes exhibit corresponding intensity changes after the changes in time compression intensity, time blockage intensity, and schedule delivery intensity of the preceding time tension node are statistically analyzed to generate intensity propagation results. Based on the intensity propagation results, the number of nodes where time compression intensity, time blockage intensity, and schedule delivery intensity diffuse along the time tension connection paths to subsequent time tension nodes is statistically analyzed to generate intensity diffusion results. Propagation correlation calculations are performed on the intensity change results, intensity propagation results, and intensity diffusion results to statistically analyze the duration of intensity propagation between each time tension node, the number of intensity diffusion nodes, and the number of uninterrupted intensity propagation paths, generating time-wrinkle propagation results. Based on the propagation results of time wrinkles, the continuous diffusion direction of time compression intensity and time blockage intensity along the time tension connection path is identified, and path tracing is performed on the project delay transmission direction between each time tension node to generate the project delay diffusion direction. The generation of the project delay propagation direction specifically includes: Based on the intensity propagation duration, number of intensity diffusion nodes, and number of uninterrupted paths in the time-wrinkle propagation results, the path results of the propagation of time compression intensity and time blocking intensity corresponding to each time tension node to subsequent time tension nodes along the time tension connection path are statistically analyzed. Combining the path connection order between adjacent time tension nodes, the node order in which subsequent time tension nodes show corresponding changes in time compression intensity after a change in the time compression intensity corresponding to a preceding time tension node, and the node order in which subsequent time tension nodes show corresponding changes in time blocking intensity after a change in the time blocking intensity corresponding to a preceding time tension node, are statistically analyzed to generate the intensity continuous diffusion result. Based on the process dependency relationship, the construction process order in which the process start delay duration, process completion delay duration, and shutdown duration corresponding to the preceding construction process are transmitted to subsequent construction processes are statistically analyzed to generate the schedule delay transmission result. Path tracing calculations are performed on the intensity continuous diffusion result and the schedule delay transmission result, and the transmission order of time compression intensity, time blocking intensity, and schedule delay to subsequent time tension nodes is confirmed node by node along the time tension connection path to generate the schedule delay propagation direction. By combining abnormal work stoppage records, rectification notice records and acceptance rejection records in the supervision and inspection data, areas where time tension nodes are continuously clustered and time blockage intensity is continuously accumulated are identified, and time overlay areas are generated. The generation of the time overlay region specifically includes: Based on the abnormal work stoppage records, rectification notice records, and acceptance rejection records in the supervision and inspection data, the duration of abnormal work stoppages, rectification processing, and acceptance rejections corresponding to each time tension node are statistically analyzed to generate the supervision response delay result. Combining the intensity propagation duration, the number of intensity diffusion nodes, and the number of uninterrupted intensity propagation paths in the time fold propagation result, the number of time tension nodes where time blocking intensity is continuously transmitted along the time tension connection path is statistically analyzed to generate the time blocking continuous accumulation result. Based on the path connection order in the time tension connection path, the number and duration of nodes where supervision response delay results and time blocking continuous accumulation results occur consecutively between adjacent time tension nodes are statistically analyzed to generate the time tension continuous aggregation result. Regional correlation calculations are performed on the supervision response delay result, the time blocking continuous accumulation result, and the time tension continuous aggregation result to statistically analyze the regions where time blocking intensity continuously accumulates, supervision response is continuously delayed, and time tension nodes are continuously aggregated within a continuous time interval, generating the time overlay region. For each time-overlapping region, the process stagnation time, resource waiting time, and acceptance rejection duration of the corresponding time tension nodes are statistically analyzed. The execution regions of nodes with abnormal intensity changes corresponding to the time tension nodes are identified, and time crack nodes are generated. The generation of time-slot nodes specifically includes: Based on the distribution of time tension nodes in each time superposition region, the process stagnation time, personnel waiting time, equipment waiting time, material waiting time, process queuing time, and acceptance rejection duration of the corresponding time tension nodes are statistically analyzed to generate node anomaly persistence results. Combining the time compression intensity, time blockage intensity, and schedule transfer intensity of the corresponding time tension nodes, the variation values ​​of each intensity within a continuous time interval are statistically analyzed to generate node intensity change results. Based on the node intensity change results, time tension nodes where the propagation of time compression intensity, time blockage intensity, and schedule transfer intensity is interrupted along the time tension connection path are statistically analyzed to generate intensity propagation interruption results. Regional correlation calculations are performed on the node anomaly persistence results and intensity propagation interruption results to statistically analyze time tension node regions where process stagnation time, resource waiting time, and acceptance rejection duration continuously increase, and intensity propagation is interrupted. Time tension nodes in the corresponding regions where the propagation of time compression intensity, time blockage intensity, and schedule transfer intensity is simultaneously interrupted are identified to generate time crack nodes. Perform propagation chain association construction on the direction of project delay propagation, time overlap area and time crack node to generate project time wrinkle propagation chain; The generation of the engineering time fold propagation chain specifically includes: Based on the propagation sequence of the time tension connection path in the direction of project delay propagation, the propagation path of project delay continuously passing along the time tension connection path to subsequent time tension nodes is statistically analyzed, generating project delay propagation results. Combining the distribution location of time tension nodes in the time overlap region, the propagation region where time blockage intensity continuously accumulates and time tension nodes continuously cluster is statistically analyzed, generating time overlap propagation results. Based on the node position of time crack nodes in the time tension connection path, the propagation paths where time compression intensity, time blockage intensity, and project delay transmission intensity are interrupted are statistically analyzed, generating crack propagation results. Propagation chain correlation calculations are performed on the project delay propagation results, time overlap propagation results, and crack propagation results to establish the propagation correlation relationship where the project delay propagation path enters the time overlap propagation region and the propagation is interrupted at the time crack node, generating propagation chain correlation results. Based on the propagation chain correlation results, the continuous propagation correlation relationship between the project delay propagation path, the time overlap propagation region, and the time crack node is established, generating the project time fold propagation chain.

[0022] In this embodiment, the generation of the candidate path set for engineering time rebound specifically includes: Based on the time tension connection path in the propagation chain of engineering time wrinkles, the propagation path between each time crack node is divided into path connections to generate a propagation path set. For each propagation path in the propagation path set, the time compression intensity, time blockage intensity, and schedule transfer intensity corresponding to each time tension node within the path are statistically analyzed, and the change value of each intensity in the path direction is calculated to generate the path intensity change results. The generation of path intensity change results specifically includes: Based on the path connection order in the propagation path set, the changes in time compression intensity, time blocking intensity, and schedule transfer intensity corresponding to time tension nodes within each propagation path are statistically analyzed over a continuous time interval to generate node intensity change results. Combining the time tension connection paths between adjacent time tension nodes, the direction of change of time compression intensity corresponding to subsequent time tension nodes relative to preceding time tension nodes, and the direction of change of time blocking intensity corresponding to subsequent time tension nodes relative to preceding time tension nodes, are statistically analyzed to generate intensity propagation change results. Based on process dependencies, the direction of change of schedule transfer intensity corresponding to subsequent construction processes relative to preceding construction processes is statistically analyzed to generate schedule transfer change results. Path association calculations are performed on the node intensity change results, intensity propagation change results, and schedule transfer change results to statistically analyze the changing trends of time compression intensity, time blocking intensity, and schedule transfer intensity along the propagation path direction, generating path intensity change results. Based on the path intensity change results, calculate the time blockage intensity decrease value, the schedule transmission intensity decrease value, and the time compression intensity release value in each propagation path to generate the schedule rebound capability; The generation of schedule resilience specifically includes: Based on the trends of time-blocking intensity, schedule transfer intensity, and time-compression intensity in the path intensity change results, the weakening changes of time-blocking intensity, schedule transfer intensity, and time-compression intensity relative to the preceding time-tension nodes are statistically analyzed for subsequent time-tension nodes within each propagation path. Combining the path connection sequence in the time-tension connection path, the number of time-tension nodes whose time-blocking intensity continuously weakens along the propagation path direction and the duration of weakening are statistically analyzed to generate a time-blocking intensity decrease value. Based on the process dependency relationship, the number of construction processes whose schedule transfer intensity continuously weakens along the propagation path direction and the duration of weakening are statistically analyzed to generate a schedule transfer intensity decrease value. Combining the trend of time-compression intensity, the number of time-tension nodes whose time-compression intensity continuously weakens along the propagation path direction and the duration of weakening are statistically analyzed to generate a time-compression intensity release value. Path association calculations are performed on the time-blocking intensity decrease value, schedule transfer intensity decrease value, and time-compression intensity release value to statistically analyze the duration of intensity weakening, the number of intensity weakening nodes, and the length of the propagation path with continuous intensity weakening within each propagation path, generating the schedule rebound capability. By combining the resource waiting status change results, process progress status recovery results, and supervision response status recovery results in each propagation path, the duration of time release and the number of time release covered nodes in each propagation path are statistically analyzed to generate time release capability. The generation of the time release ability specifically includes: Based on the resource waiting status changes in each propagation path, the number of time tension nodes corresponding to subsequent time tension nodes where personnel waiting time, equipment waiting time, material waiting time, and process queuing time continuously decrease along the propagation path is counted, generating resource waiting status release results; combined with process progress status recovery results, the number of construction processes corresponding to subsequent construction processes where process start delay time, process completion delay time, and shutdown duration continuously recover along the propagation path is counted, generating process progress status release results; based on the supervision response status recovery results, the number of time tension nodes where abnormal shutdown duration, rectification processing duration, and acceptance rejection duration continuously decrease along the propagation path is counted, generating supervision response status release results; path association calculations are performed on resource waiting status release results, process progress status release results, and supervision response status release results to count the internal state recovery duration and number of state recovery nodes within each propagation path, generating time release capacity; Perform path association calculations on schedule rebound capability and time release capability, identify propagation paths that enable synchronous enhancement of schedule rebound capability and time release capability, and generate candidate paths for time rebound. The generation of time bounce candidate paths specifically includes: Based on the schedule rebound capacity corresponding to each propagation path, the order of time tension nodes for the continuous propagation of time blockage intensity reduction, schedule transmission intensity reduction, and time compression intensity release along the propagation path direction is statistically analyzed to generate schedule rebound change results. Combining the time release capacity corresponding to each propagation path, the order of time tension nodes for the continuous recovery of resource waiting status, process advancement status, and supervision response status along the propagation path direction is statistically analyzed to generate time release change results. Path association calculations are performed on the schedule rebound change results and time release change results to statistically analyze the common duration and number of common recovery nodes of schedule rebound capacity and time release capacity in the same propagation path, generating path synchronization recovery results. Based on the path synchronization recovery results, propagation paths where schedule rebound capacity and time release capacity continuously recover along the same propagation path are identified, generating candidate time rebound paths. The candidate paths for time rebound are sorted according to the decrease in time blocking intensity and the number of time release covered nodes, and a set of candidate paths for engineering time rebound is generated.

[0023] In this embodiment, the generation of the engineering time blocking release structure specifically includes: Based on each time rebound candidate path in the engineering time rebound candidate path set, the cumulative value of time blockage intensity, the diffusion value of construction period transmission intensity, and the cluster value of time compression intensity in the corresponding propagation path are statistically analyzed, and path clustering analysis is performed on the corresponding time tension nodes to generate time blockage islands. The generation of time-blocking islands specifically includes: Based on the path connection order in the candidate path set for project time rebound, the number of time tension nodes with continuously accumulating time blockage intensity within each candidate path is counted, generating the time blockage intensity accumulation result; combined with the process dependency relationship in the time tension connection path, the number of construction processes with continuous diffusion of schedule transfer intensity along the propagation path direction without resolving the propagation is counted, generating the schedule transfer intensity diffusion result; based on the time compression intensity change result, the number of time tension nodes with continuously accumulating time compression intensity along the propagation path direction and the duration of the accumulation are counted, generating the time compression intensity aggregation result; path aggregation analysis is performed on the time blockage intensity accumulation result, schedule transfer intensity diffusion result, and time compression intensity aggregation result to count the continuous aggregation area of ​​time tension nodes with continuously accumulating time blockage intensity, continuously diffusing schedule intensity, and continuously accumulating time compression intensity, generating the time blockage island; For each time-blocking island, calculate the propagation direction of time blockage intensity, the propagation direction of schedule delivery intensity, and the diffusion direction of time squeeze intensity between time tension nodes within the island, and perform path association calculations for each propagation direction to generate time blockage propagation relationships; The generation of time-blocking propagation relationships specifically includes: Based on the time tension connection paths within each time congestion island, the time tension nodes within each island are arranged according to the path connection order, establishing the path propagation correspondence between time tension nodes. Combining the time congestion intensity change results corresponding to adjacent time tension nodes, the association relationships of subsequent time tension nodes showing changes in time congestion intensity in the same direction after the continuous accumulation of time congestion intensity corresponding to the preceding time tension node are statistically analyzed, generating the time congestion intensity propagation direction result. Based on the process dependency relationship, the association relationships of subsequent construction processes showing changes in schedule transfer intensity in the same direction after the continuous diffusion of schedule transfer intensity corresponding to the preceding construction process are statistically analyzed, generating the schedule transfer intensity propagation direction result. Combining the time compression intensity change results, the association relationships of subsequent time tension nodes showing changes in time compression intensity in the same direction after the continuous accumulation of time compression intensity corresponding to the preceding time tension node are statistically analyzed, generating the time compression intensity diffusion direction result. Path association calculations are performed on the time congestion intensity propagation direction result, schedule transfer intensity propagation direction result, and time compression intensity diffusion direction result to establish the association relationship of time congestion intensity, schedule transfer intensity, and time compression intensity propagating continuously along the time tension connection path, generating the time congestion propagation relationship. Based on the temporal blocking propagation relationship, identify the temporal tension nodes whose temporal blocking intensity continuously spreads along the temporal tension connection path, and count the number of nodes covered by the blocking propagation between the corresponding temporal tension nodes to generate a set of blocking diffusion nodes; Perform path breaking processing on the time tension connection paths between time tension nodes in the blockage and diffusion node set, remove the blockage propagation association between the corresponding time tension nodes, and generate a path breaking and release result. The generation of the chain breakage release result specifically includes: Based on the time tension connection paths in the set of congestion and diffusion nodes, the connection paths of time tension nodes where time congestion intensity continuously accumulates, schedule delivery intensity continuously diffuses, and propagation has not been resolved are statistically analyzed to generate congestion propagation path results. Combining the time congestion propagation relationship, the propagation associations of time congestion intensity, schedule delivery intensity, and time pressure intensity continuously propagating along the time tension connection paths are identified, generating congestion propagation association results. Path chain breaking processing is performed on adjacent time tension nodes in the congestion propagation path results to break the propagation associations of time congestion intensity, schedule delivery intensity, and time pressure intensity between preceding and subsequent time tension nodes, generating path chain breaking results. Based on the path chain breaking results, the propagation release results of time congestion intensity ceasing propagation, schedule delivery intensity ceasing diffusion, and time pressure intensity ceasing accumulation between corresponding time tension nodes are statistically analyzed. Path association calculations are performed on the path chain breaking results and propagation release results to establish a propagation release relationship where the congestion propagation between corresponding time tension nodes no longer continues to spread after the congestion propagation is resolved, generating chain release results. For each time tension node in the chain break release result, the time blocking intensity, schedule transfer intensity and time squeezing intensity of the corresponding node are recalculated, and the number of diffusion coverage nodes corresponding to each intensity after recalculation is counted to generate the blocking diffusion cut-off result. The generation of the blocking diffusion cutoff result specifically includes: Based on the path breakage results in the chain breakage release results, the intensity changes after the time blockage intensity propagation association, schedule transfer intensity propagation association, and time squeeze intensity propagation association between each time tension node are removed are statistically analyzed. Combining the time tension connection path after the chain breakage, the time blockage intensity, schedule transfer intensity, and time squeeze intensity corresponding to each time tension node are recalculated, generating node intensity recalculation results. Based on the node intensity recalculation results, the number of nodes where the time blockage intensity no longer propagates to subsequent time tension nodes along the time tension connection path is statistically analyzed, generating time blockage intensity cutoff results. Combining the process dependency relationship, the number of construction processes where the schedule transfer intensity no longer propagates to subsequent construction processes along the propagation path is statistically analyzed, generating schedule transfer intensity cutoff results. Based on the time squeeze intensity change results, the number of nodes where the time squeeze intensity no longer extends to subsequent time tension nodes along the propagation path is statistically analyzed, generating time squeeze intensity cutoff results. Path association calculations are performed on the time blockage intensity cutoff results, schedule transfer intensity cutoff results, and time squeeze intensity cutoff results, and the path regions where subsequent time tension nodes no longer exhibit corresponding intensity propagation changes in the propagation path are statistically analyzed, generating blockage diffusion cutoff results. Perform structural association construction on the chain break release result and the blockage diffusion cut-off result to generate an engineering-time blockage release structure; The generation of the engineering time blocking release structure specifically includes: Based on the path breakage results in the chain breakage release results, the changes in propagation connections after the removal of time blockage intensity propagation association, schedule delivery intensity propagation association, and time compression intensity propagation association between each time tension node are statistically analyzed, generating the chain breakage release association results. Combined with the blockage diffusion cutoff results, the propagation cutoff regions where subsequent time tension nodes in the propagation path no longer exhibit time blockage intensity propagation, schedule delivery intensity propagation, or time compression intensity expansion are statistically analyzed, generating the blockage diffusion cutoff association results. Structural association calculations are performed on the chain breakage release association results and the blockage diffusion cutoff association results to establish a propagation deassociation structure after the cessation of time blockage intensity propagation, schedule delivery intensity diffusion, and time compression intensity aggregation, generating the blockage deassociation results. Based on the blockage deassociation results, the path connection relationships between each time tension node after the chain breakage are re-established to ensure that the blockage state no longer continues to propagate, generating a stable path connection structure after the propagation is de-liberated. Structural association construction is performed on the blockage deassociation results and the stable path connection structure after the propagation is de-liberated, generating the project time blockage de-liberation structure.

[0024] In this embodiment, the generation of project progress control results includes: Based on the engineering time blockage relief structure, the time blockage intensity change value, schedule transfer intensity change value, and time compression intensity change value corresponding to each time tension node are statistically analyzed to generate the time tension state change results; For each time tension node in the time tension state change results, the time blockage propagation range, schedule transfer range and time squeeze diffusion range between the corresponding construction procedures are recalculated to generate construction procedure blockage update results. The generation of construction process blockage update results specifically includes: Based on the changes in time blockage intensity, schedule transfer intensity, and time compression intensity in the time tension state change results, the changes in the time blockage propagation range, schedule transfer range, and time compression diffusion range corresponding to each time tension node are statistically analyzed to generate node propagation range change results. Combining the process dependencies in the time tension connection path, the construction process range along the time tension connection path to propagate time blockage intensity to subsequent construction processes is recalculated to generate updated time blockage propagation range results. Based on the schedule transfer range change results, the construction process range along the propagation path to continuously propagate schedule transfer intensity to subsequent construction processes is recalculated to generate updated schedule transfer range results. Combining the time compression diffusion range change results, the node range along the time tension connection path to continuously expand time compression intensity to subsequent time tension nodes is recalculated to generate updated time compression diffusion range results. Path association calculations are performed on the updated time blockage propagation range results, schedule transfer range update results, and time compression diffusion range update results to statistically analyze the updated propagation range change areas between each construction process and generate construction process blockage update results. Based on the construction process blockage update results, perform recovery calculations on the corresponding construction process's progress status, resource waiting status, and supervision response status to generate construction process recovery results; For each construction procedure in the construction procedure recovery result, the procedure dependency relationship between the corresponding time tension nodes is re-established, and the time tension connection path is reconstructed according to the construction procedure recovery order to generate the updated time tension connection path. The generation of the updated time-tension connection path specifically includes: Based on the restoration results of the construction process progress status, resource waiting status, and supervision response status in the construction process restoration results, the restoration order of each construction process is statistically analyzed, generating construction process restoration association results. Combining the preceding and subsequent process identifiers in the process execution data, the process dependencies between the restored construction processes are re-established, generating process dependency update results. Based on the process dependency update results, the re-formed construction process propagation relationships from the restored preceding construction processes to the subsequent construction processes are statistically analyzed, generating construction process propagation reconstruction results. Combining the original time tension connection paths between corresponding time tension nodes, the path connection directions between time tension nodes are readjusted according to the construction process restoration order, generating time tension path reconstruction results. Path association calculations are performed on the construction process propagation reconstruction results and the time tension path reconstruction results to establish the re-formed time tension connection relationships between the restored construction processes, generating updated time tension connection paths. Based on the updated time tension connection path, the time blockage intensity, schedule transfer intensity and time compression intensity between the corresponding time tension nodes are recalculated to generate the updated time tension status. Perform dynamic release calculations on the updated time tension state, identify time tension nodes where the time blockage intensity decreases and the schedule delivery intensity weakens, and generate dynamic release results for construction procedures. The generation of dynamic release results for construction procedures specifically includes: Based on the updated time tension status, the release changes of time blockage intensity, schedule transfer intensity, and time squeeze intensity corresponding to each time tension node along the time tension connection path are statistically analyzed to generate time tension status release results. Combining the time tension connection paths between adjacent time tension nodes, the node propagation relationship where the time blockage intensity continuously weakens along the propagation path and expands to subsequent time tension nodes is statistically analyzed to generate time blockage intensity release results. Based on process dependencies, the construction process propagation relationship where the schedule transfer intensity continuously weakens along the propagation path and expands to subsequent construction processes is statistically analyzed to generate schedule transfer intensity release results. Combining the time squeeze intensity change results, the node propagation relationship where the time squeeze intensity continuously weakens along the time tension connection path and expands to subsequent time tension nodes is statistically analyzed to generate time squeeze intensity release results. Path association calculations are performed on the time blockage intensity release results, schedule transfer intensity release results, and time squeeze intensity release results to identify time tension nodes whose release status continuously expands along the time tension connection path, generating dynamic release results for construction processes. Based on the dynamic release results of construction procedures, the time blockage propagation relationship between corresponding construction procedures is updated to generate the progress control results of the engineering supervision project. The generation of project progress control results specifically includes: Based on the dynamic release results of construction procedures, the changes in time blockage propagation, schedule transfer, and time squeeze diffusion corresponding to the time tension nodes along the time tension connection path are statistically analyzed to generate dynamic update results for construction procedures. Combining the time blockage propagation relationship between corresponding construction procedures, the propagation path changes of time blockage intensity along the time tension connection path to subsequent construction procedures are recalculated to generate time blockage propagation update results. Based on the schedule transfer intensity release results, the propagation path changes of schedule transfer intensity along the propagation path to subsequent construction procedures are recalculated to generate schedule transfer update results. Combining the time squeeze intensity release results, the diffusion path changes of time squeeze intensity along the time tension connection path to subsequent time tension nodes are recalculated to generate time squeeze diffusion update results. Blockage update processing is performed on the time blockage propagation update results, schedule transfer update results, and time squeeze diffusion update results to establish a stable propagation relationship after the reduction of blockage propagation, schedule transfer contraction, and time squeeze diffusion between construction procedures, generating project progress control results for the engineering supervision project.

[0025] Example 1: To verify the feasibility of this invention in practice, it was applied to the construction scenario of an underground integrated pipe gallery in a coastal city. This construction scenario is located in the main urban area of ​​a city in East China. The construction area spans multiple main traffic arteries and areas with dense municipal pipelines. The construction period spans both the rainy and high-temperature seasons and involves multiple construction stages such as civil engineering excavation, rebar binding, concrete pouring, waterproofing, cable laying, and internal equipment installation. Due to the large construction area and strong process dependencies between different construction areas, coupled with a large number of on-site construction personnel, frequent equipment cross-operations, and unstable material arrival times, it is easy to encounter situations such as asynchronous progress of construction processes, accumulation of resources, and delayed response from supervision. In the early stages of construction, the on-site construction progress was mainly controlled by traditional manual supervision and fixed schedule planning. The supervisor recorded the construction status through daily inspections and combined this with paper construction logs to compile construction progress statistics. However, in actual construction, due to the simultaneous advancement of multiple construction areas, delays in some construction procedures will continue to affect subsequent procedures, causing the waiting area for procedures to expand continuously. This leads to problems such as increased resource consumption, extended equipment idle time, and localized stagnation in construction areas, resulting in a continuous decline in overall construction efficiency.

[0026] In this construction scenario, construction log data, process execution data, resource waiting data, and supervision inspection data are first collected. Construction log data includes the start time, completion time, and stoppage records for each process in different construction areas. Process execution data includes the identifiers of preceding and subsequent processes, as well as the completion status of each process. Resource waiting data includes the waiting time for construction personnel, equipment, materials, and process queuing time. Supervision inspection data includes abnormal stoppage records, rectification notice records, and acceptance rejection records. The above data is then processed for time alignment, missing data completion, anomaly removal, and time sorting to form a project time-series status dataset. By performing time coupling analysis on the process progress status, resource waiting status, and supervision response status in the project time-series status dataset, areas where process progress lag and resource waiting accumulation occur simultaneously are gradually identified in multiple construction areas. Corresponding time tension nodes are generated within these areas.

[0027] After the time tension nodes are generated, time tension connection paths are further established based on the process dependencies between various construction procedures, forming an engineering time tension topology. As construction continues, equipment waiting time and process queuing time in some construction areas increase continuously. Multiple time tension nodes continuously accumulate along the construction sequence, and resource waiting status begins to spread continuously to subsequent construction areas along the time tension connection paths. In this process, this invention gradually identifies time tension accumulation areas by calculating time compression intensity, time blockage intensity, and schedule transmission intensity, and generates an engineering time fold structure. Supervisors found that in some underground utility tunnel intersection areas, due to delays in the preceding concrete pouring process, subsequent waterproofing construction and cable laying processes could not proceed normally, resulting in the accumulation of resource waiting status in multiple construction areas simultaneously, forming a continuous time blockage propagation phenomenon.

[0028] This invention tracks the propagation process of time folds along the time tension connection path in the engineering time fold structure, and combines it with supervision and inspection data to identify the direction of project delay propagation, time overlap areas, and time crack nodes. During continuous monitoring, it was found that project delays in some construction areas were no longer limited to a single process, but began to spread to multiple subsequent construction areas along the construction path. Some areas showed a continuous overlap of resource waiting status and acceptance rejection status, forming obvious time overlap areas. By continuously tracking the time crack nodes, this invention can identify the key propagation path of the continuous spread of project delays and further generate the engineering time fold propagation chain.

[0029] After the propagation chain is formed, this invention further evaluates the schedule rebound capability and time release capability of each propagation path, identifies multiple propagation paths with recovery trends, and generates a set of candidate paths for project time rebound. In some construction areas, as the preceding processes gradually resume, the previously accumulated resource waiting state begins to weaken, the equipment waiting time gradually shortens, and the process progress begins to return to normal. By performing correlation analysis on the decreasing trend of time blockage intensity and the continuous expansion of time release state, this invention identifies multiple candidate paths for time rebound with dynamic recovery capability. Subsequently, this invention further identifies time blockage islands based on the set of candidate paths for time rebound and performs chain-breaking release and blockage diffusion cut-off processing on the time blockage propagation relationship. In the actual construction process, after the schedule delay propagation relationship in some construction areas is cut off, the previously continuously spreading resource waiting state begins to stop propagating to subsequent construction areas, and the time blockage propagation range between construction areas gradually shrinks.

[0030] After the obstruction propagation relationship is resolved, the present invention re-establishes the restored process dependency relationship and reconstructs the time tension connection path according to the restored construction process sequence. As the new time tension connection path is gradually formed, the intensity of time obstruction, the intensity of schedule delivery, and the intensity of time compression begin to weaken continuously. The process advancement status between construction areas gradually returns to stability. In the subsequent construction phase, the supervisors found that the previously frequent process waiting phenomenon was significantly reduced, the resource scheduling between construction areas was more balanced, and the obstruction diffusion phenomenon in the construction path was effectively controlled. At the same time, during the continuous construction process, the present invention can perform dynamic update processing on the time obstruction propagation relationship between corresponding construction processes according to the dynamic release result of construction processes, so that the scope of schedule propagation in the subsequent construction phase continues to shrink, and new time obstruction states are avoided from forming again.

[0031] In practical applications, this invention has been continuously used in the construction of the underground integrated utility tunnel and has been continuously monitored at multiple construction stages. The supervision records show that after adopting this invention, the number of work process stagnations at the construction site has gradually decreased, the scope of resource waiting has been significantly reduced, the supervision response efficiency has been improved, and multiple construction areas that originally had a trend of continuous delays have gradually returned to a stable construction state.

[0032] Table 1. Comparison of Construction Progress Control Performance of Different Engineering Supervision Methods

[0033] As shown in Table 1, in engineering supervision and progress control scenarios, the method of the present invention demonstrates a more stable ability to control the propagation of time-related delays and to restore the project schedule compared to traditional manual inspection methods, fixed plan comparison methods, and conventional progress warning methods. In particular, the method of the present invention reduces the time for identifying project delays to 68 minutes, which is significantly shorter than that of traditional manual inspection methods. This indicates that the present invention can quickly identify project schedule propagation anomalies through time tension nodes and time fold propagation chains, avoiding the propagation and diffusion problems caused by information statistical lag in traditional manual inspection processes.

[0034] Regarding the scope of resource waiting spread, the traditional manual inspection method covers up to 17 construction areas, while the method of this invention reduces it to 6 construction areas. This demonstrates that the invention can promptly identify the path of blockage spread through time-based blockage propagation analysis and prevent the time-based blockage from spreading to subsequent construction areas through chain-breaking release and blockage propagation cut-off mechanisms. Especially in complex construction environments, resource waiting status often spreads continuously along with process dependencies. The invention effectively shrinks the scope of resource waiting spread by constructing an engineering time-based blockage relief structure.

[0035] The duration of process stagnation and the time to clear time blockages further demonstrate that the method of this invention can significantly reduce persistent process stagnation. Specifically, the duration of process stagnation is reduced from 9.8 hours in the traditional manual inspection method to 3.9 hours, and the time to clear time blockages is reduced from 11.2 hours to 4.1 hours. This indicates that the present invention can not only identify the propagation path of time blockages, but also restore the construction status through dynamic release calculation and blockage update processing. This is mainly because the present invention continuously filters propagation paths with recovery trends through a set of time rebound candidate paths and dynamically cuts off the continuously propagating blockage relationships, thereby reducing the continuous propagation of project delays.

[0036] This invention also demonstrates significant advantages in terms of response time for project schedule recovery and lag time for supervisory response. The project schedule recovery response time is reduced to 52 minutes, and the supervisory response lag time is reduced to 29 minutes. This indicates that the invention can utilize the engineering time tension topology to continuously analyze the construction status, enabling supervisors to identify areas of abnormal propagation earlier and promptly implement recovery measures for construction procedures. Compared to traditional fixed-plan comparison methods that only focus on single project schedule deviations, this invention pays greater attention to the propagation relationships of project schedules and time-related congestion, thus enabling earlier identification of potential propagation risks.

[0037] Furthermore, in terms of the proportion of process progress recovery, the proportion of resource waiting time reduction, and the proportion of project duration contraction, the method of this invention achieves 84.7%, 46.8%, and 51.3% respectively, all of which are significantly better than other methods. This indicates that the present invention can continuously reduce the intensity of time blockage, the intensity of project duration transfer, and the intensity of time compression during the construction recovery phase, thereby gradually shrinking the scope of construction propagation. Especially during the dynamic release of construction processes, the present invention can re-establish the time tension connection path according to the state of the recovered construction processes, thereby forming a new stable propagation relationship and avoiding the problem of blockage propagation and diffusion that occurs again after recovery in traditional methods.

[0038] The data on the number of dynamic blocking updates and the duration of continuous construction further demonstrate that this invention has a stronger dynamic adjustment capability. This invention can perform more dynamic blocking update processes per day, enabling the construction status to be continuously adjusted according to the real-time propagation relationship, thereby improving the continuous construction capability. The continuous construction duration reaches 8.6 hours / day, which is significantly higher than the traditional method. This shows that this invention can effectively reduce the propagation stagnation phenomenon in the construction path and improve the continuity and stability of construction progress in complex construction scenarios.

[0039] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for controlling the progress of engineering supervision projects based on big data analysis, characterized in that, Includes the following steps: Collect construction log data, process execution data, resource waiting data, and supervision and inspection data, and preprocess them to generate a project time sequence status dataset; Perform time coupling analysis on the process progress status, resource waiting status and supervision response status in the project time sequence status dataset, identify the construction time progress imbalance area, generate time tension nodes, establish time tension connection paths based on process dependencies, and generate the project time tension topology; For the engineering time tension topology, the time squeezing intensity, time blocking intensity and schedule delivery intensity are calculated by combining resource waiting data, the time tension accumulation area is identified, and the engineering time wrinkle structure is generated. The propagation process of time folds is traced along the time tension connection path in the engineering time fold structure, and the direction of project delay spread, time overlap area and time crack node are identified by combining the supervision and inspection data, so as to generate the engineering time fold propagation chain; The schedule rebound capability and time release capability are evaluated for each propagation path in the engineering time wrinkle propagation chain, and a set of candidate engineering time rebound paths is generated. Based on the set of candidate paths for engineering time rebound, identify time blockage islands, and perform chain break release and blockage diffusion cut-off on the time blockage propagation relationship to generate an engineering time blockage release structure; Based on the engineering time blockage release structure, the time tension status of construction procedures is dynamically released and blocked is updated to generate the project progress control results for engineering supervision.

2. The method for controlling the progress of engineering supervision projects based on big data analysis according to claim 1, characterized in that, The construction log data specifically includes the start time of the work process, the completion time of the work process, and the stoppage record; the work process execution data specifically includes the work process number, the identifier of the preceding work process, the identifier of the subsequent work process, and the work process completion status; the resource waiting data specifically includes the waiting time of personnel, the waiting time of equipment, the waiting time of materials, and the queuing time of the work process; the supervision and inspection data specifically includes abnormal stoppage records, rectification notice records, and acceptance rejection records; the preprocessing specifically includes time alignment, missing data completion, anomaly removal, and time sorting.

3. The method for controlling the progress of engineering supervision projects based on big data analysis according to claim 1, characterized in that, The generation of the engineering time-tension topology specifically includes: Extract the process progress status, resource waiting status and supervision response status corresponding to each construction process from the project time sequence status dataset, and perform association and organization of each status according to the construction time sequence to generate a construction time status set; Perform time coupling analysis on the process progress status, resource waiting status and supervision response status in the construction time status set, calculate the process progress time difference, resource waiting time difference and supervision response time difference between each construction process, and generate time coupling results; Based on the time coupling results, clustering identification is performed on construction processes that have process lags, resource waiting accumulations, and supervision response delays within continuous time intervals to generate construction time imbalance regions; For each area of ​​unbalanced construction time progress, extract the stagnant state of process progress, the accumulated state of resource waiting and the delayed state of supervision response in the corresponding area, perform correlation analysis on the degree of time clustering between each state, and generate time tension nodes; Based on the identifiers of preceding and subsequent processes in the process execution data, establish the process dependencies between each time tension node, and establish time tension connection paths according to the process execution order; Perform path association mapping on each time tension node in the time tension connection path, establish the propagation association relationship between time tension nodes, and generate the engineering time tension topology.

4. The method for controlling the progress of engineering supervision projects based on big data analysis according to claim 1, characterized in that, The generation of the engineering time fold structure specifically includes: Extract each time tension node and its corresponding time tension connection path from the engineering time tension topology, and extract personnel waiting time, equipment waiting time, material waiting time and process queuing time from resource waiting data to generate a time waiting status set. Based on the set of time waiting states, the cumulative degree of time waiting, the degree of time lag, and the degree of process stagnation of each time tension node in a continuous time interval are statistically analyzed. Time correlation calculation is performed on each time tension node to generate time compression intensity. For adjacent time-tension nodes in each time-tension connection path, calculate the degree of continuous diffusion and blockage propagation of resource waiting status along the time-tension connection path, and generate time-blockage intensity. Based on the process dependencies, correlation analysis is performed on the scope, level, and duration of schedule delay propagation between each time tension node to generate schedule propagation intensity. Perform path clustering analysis on time compression intensity, time blockage intensity, and schedule delivery intensity to identify time tension clustering regions where time tension nodes are continuously clustered and resource waiting status continues to spread. For each region where time tension is concentrated, the time overlap state, time blockage state, and schedule transfer state between time tension nodes within the region are extracted. Regional association mapping is performed on each state to generate a project time fold structure.

5. The method for controlling the progress of engineering supervision projects based on big data analysis according to claim 1, characterized in that, The generation of the engineering time fold propagation chain specifically includes: Based on the time tension connection paths in the engineering time fold structure, propagation arrangement is performed on each time tension node according to the path connection order to generate a time fold propagation path set. For each time tension node in the time wrinkle propagation path set, the time compression intensity, time blockage intensity, and schedule transfer intensity of the corresponding node are statistically analyzed, and propagation correlation analysis is performed along the time tension connection path to generate time wrinkle propagation results; Based on the propagation results of time wrinkles, the continuous diffusion direction of time compression intensity and time blockage intensity along the time tension connection path is identified, and path tracing is performed on the project delay transmission direction between each time tension node to generate the project delay diffusion direction. By combining abnormal work stoppage records, rectification notice records and acceptance rejection records in the supervision and inspection data, areas where time tension nodes are continuously clustered and time blockage intensity is continuously accumulated are identified, and time overlay areas are generated. For each time-overlapping region, the process stagnation time, resource waiting time, and acceptance rejection duration of the corresponding time tension nodes are statistically analyzed. The execution regions of nodes with abnormal intensity changes corresponding to the time tension nodes are identified, and time crack nodes are generated. The propagation chain association is constructed for the direction of project delay propagation, time overlap area and time crack node, generating the project time wrinkle propagation chain.

6. The method for controlling the progress of engineering supervision projects based on big data analysis according to claim 1, characterized in that, The generation of the candidate path set for engineering time rebound specifically includes: Based on the time tension connection path in the propagation chain of engineering time wrinkles, the propagation path between each time crack node is divided into path connections to generate a propagation path set. For each propagation path in the propagation path set, the time compression intensity, time blockage intensity, and schedule transfer intensity corresponding to each time tension node within the path are statistically analyzed, and the change value of each intensity in the path direction is calculated to generate the path intensity change results. Based on the path intensity change results, calculate the time blockage intensity decrease value, the schedule transmission intensity decrease value, and the time compression intensity release value in each propagation path to generate the schedule rebound capability; By combining the resource waiting status change results, process progress status recovery results, and supervision response status recovery results in each propagation path, the duration of time release and the number of time release covered nodes in each propagation path are statistically analyzed to generate time release capability. Perform path association calculations on schedule resilience and time release capability, identify propagation paths that enable synchronous enhancement of schedule resilience and time release capability, and generate candidate time resilience paths; The candidate paths for time rebound are sorted according to the decrease in time blocking intensity and the number of time release covered nodes, and a set of candidate paths for engineering time rebound is generated.

7. The method for controlling the progress of engineering supervision projects based on big data analysis according to claim 1, characterized in that, The generation of the engineering time blocking release structure specifically includes: Based on each time rebound candidate path in the engineering time rebound candidate path set, the cumulative value of time blockage intensity, the diffusion value of construction period transmission intensity, and the cluster value of time compression intensity in the corresponding propagation path are statistically analyzed, and path clustering analysis is performed on the corresponding time tension nodes to generate time blockage islands. For each time-blocking island, calculate the propagation direction of time blockage intensity, the propagation direction of schedule delivery intensity, and the diffusion direction of time squeeze intensity between time tension nodes within the island, and perform path association calculations for each propagation direction to generate time blockage propagation relationships; Based on the temporal blocking propagation relationship, identify the temporal tension nodes whose temporal blocking intensity continuously spreads along the temporal tension connection path, and count the number of nodes covered by the blocking propagation between the corresponding temporal tension nodes to generate a set of blocking diffusion nodes; Perform path breaking processing on the time tension connection paths between time tension nodes in the blockage and diffusion node set, remove the blockage propagation association between the corresponding time tension nodes, and generate a path breaking and release result. For each time tension node in the chain break release result, the time blocking intensity, schedule transfer intensity and time squeezing intensity of the corresponding node are recalculated, and the number of diffusion coverage nodes corresponding to each intensity after recalculation is counted to generate the blocking diffusion cut-off result. Perform structural association construction on the chain break release result and the blockage diffusion cut-off result to generate an engineering time blockage release structure.

8. The method for controlling the progress of engineering supervision projects based on big data analysis according to claim 1, characterized in that, The generation of the project progress control results includes: Based on the engineering time blockage relief structure, the time blockage intensity change value, schedule transfer intensity change value, and time compression intensity change value corresponding to each time tension node are statistically analyzed to generate the time tension state change results; For each time tension node in the time tension state change results, the time blockage propagation range, schedule transfer range and time squeeze diffusion range between the corresponding construction procedures are recalculated to generate construction procedure blockage update results. Based on the construction process blockage update results, perform recovery calculations on the corresponding construction process's progress status, resource waiting status, and supervision response status to generate construction process recovery results; For each construction procedure in the construction procedure recovery result, the procedure dependency relationship between the corresponding time tension nodes is re-established, and the time tension connection path is reconstructed according to the construction procedure recovery order to generate the updated time tension connection path. Based on the updated time tension connection path, the time blockage intensity, schedule transfer intensity and time compression intensity between the corresponding time tension nodes are recalculated to generate the updated time tension status. Perform dynamic release calculations on the updated time tension state, identify time tension nodes where the time blockage intensity decreases and the schedule delivery intensity weakens, and generate dynamic release results for construction procedures. Based on the dynamic release results of construction procedures, the time blockage propagation relationship between corresponding construction procedures is updated to generate the progress control results of the engineering supervision project.

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