Construction Engineering Task Progress Visualization System

Abstract

The present invention discloses a construction engineering task progress visualization system, which relates to the field of intelligent construction technology. The system parses CAD model files, extracts path lines and constructs propulsion direction vectors, combines an equipment engineering scheduling system with a sensor group, collects construction data and operation data in real time, and obtains a path posture data group and a time series dynamic data group through data processing; calculates a tension gradient offset index zlp based on the path posture data group, and performs a tension offset assessment at a preset offset tension response threshold H to determine the tension offset status; when the tension offset assessment is abnormal, calculates an offset space angular index ris, and performs a path offset risk assessment at a preset first angular divergence threshold A and a second angular divergence threshold B; finally, constructs a visual cloud map of offset intensity, and highlights the propulsion trajectory and offset risk status in a time series to ensure the continuity, controllability and safety of the shield construction path.

Description

Technical Field

[0001] The present invention relates to the field of intelligent construction technology, and in particular to a construction engineering task progress visualization system. Background Art

[0002] With the rapid development of large-scale underground projects such as urban rail transit and municipal tunnels, construction project task management has gradually evolved from two-dimensional drawing management to digital and information-based management. In this evolutionary process, task progress visualization has become a key technical component of project scheduling and safety control. By integrating the construction process with the model in real time, it not only improves the intuitiveness and accuracy of construction progress control but also provides a more intuitive basis for construction anomaly and risk intervention. In underground shield tunneling projects, the shield machine's propulsion path is often affected by multiple factors such as geological disturbances, equipment vibration, and dispatch response, which can easily lead to nonlinear deviations. If these deviations are not detected and intervened in a timely manner, they are likely to lead to safety hazards such as the failure of connecting structures to dock and abnormal component stress. Therefore, incorporating underground shield machine deviation risk analysis and visualization into the construction project task progress visualization system not only accurately monitors the dynamic response of the propulsion process but also issues early warnings at the beginning of path deviation, providing a reliable basis for construction scheduling.

[0003] Current underground shield engineering monitoring systems are largely limited to data collection and post-processing, making it difficult to achieve real-time assessment of construction path deviations and visualize spatial trends. On the one hand, monitoring data is mostly scattered numerical records, lacking correlation with the path structure, making it difficult to form a spatial cognitive model. On the other hand, understanding key dynamic parameters such as torque changes, vibration response, and path deviation during construction is still based primarily on empirical judgment, lacking a unified data-driven assessment framework. Furthermore, there is often a time delay between construction planning and on-site progress. When path anomalies occur, the scheduling system fails to provide timely feedback, resulting in an ineffective suppression of risk evolution. These shortcomings not only limit the proactive nature of project risk perception but also increase the uncertainty of human intervention, exposing overall path control to unpredictable deviation trends. Summary of the Invention

[0004] In view of the deficiencies in the prior art, the present invention provides a construction engineering task progress visualization system, which solves the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a construction engineering task progress visualization system includes a model analysis module, a data acquisition module, a tension offset assessment module, an offset risk assessment module and a visualization module;

[0006] The model parsing module is used to input the CAD model file into the equipment engineering scheduling system for parsing and constructing the propulsion direction vector;

[0007] The data acquisition module is used to extract the construction data recorded by the equipment engineering scheduling system in real time during the operation of the shield equipment, and collect the operation data of the shield equipment in real time based on the installed sensor group, and then process the construction data and operation data to obtain the path posture data group and the time series dynamic data group;

[0008] The tension offset evaluation module is used to calculate the tension gradient offset index zlp based on the path posture data group to perform tension offset evaluation;

[0009] The deviation risk assessment module is used to calculate the trajectory disturbance trend index grq through the time series dynamic data group when the tension deviation is assessed as abnormal, and then perform comprehensive calculation with the tension gradient deviation index zlp to obtain the deviation space angle index ris to perform path deviation risk assessment;

[0010] The visualization module is used to visually map the actual construction path, trigger a flashing prompt based on the evaluation results, and then use the rendering engine timer to highlight the current position trajectory.

[0011] Preferably, the model parsing module includes a model importing unit and a model parsing unit;

[0012] The model import unit is used to input the CAD model file provided in the design phase into the equipment engineering scheduling system through the model engine interface, and traverse the CAD model structure tree through the format parser to extract the geometric origin point position of the component instance and the path line object coordinate information defined in the CAD model;

[0013] The equipment engineering scheduling system is the central system of the shield equipment, integrating the system's monitoring, control and data recording functions, and is used to fully record the real-time monitoring, operation control, data collection, data analysis and status feedback of the shield equipment during operation;

[0014] The model parsing unit is used to read the hierarchical structure of the CAD model file based on the equipment engineering scheduling system, identify the center line of the path line, the discrete path of the CAD model and the actual laying trajectory line, and use the spatial geometry reconstruction algorithm to convert the discrete path of the model into a continuous curve, identify the propulsion direction in the CAD model and parse it, extract the coordinates of the discrete nodes along the path, and then construct the propulsion direction vector based on the tangent vector of the starting point of the path.

[0015] Preferably, the data acquisition module includes a data extraction unit, a data acquisition unit and a data processing unit;

[0016] The data extraction unit is used to extract the construction data recorded by the equipment engineering scheduling system in real time during the operation of the shield equipment;

[0017] The construction data includes the coordinate vector of the construction path in the drawing , advancement coordinate point, actual operation time, system control frequency kp, actual construction path coordinate vector , propulsion attitude angle sm and operation scheduling delay difference Δtl;

[0018] The drawing construction path coordinate vector Extract engineering standards representing the expected advancement path in real time based on the parsed CAD model;

[0019] The propulsion coordinate point, actual operation time, system control frequency kp, actual construction path coordinate vector The thrust attitude angle sm is extracted from the equipment engineering scheduling system in real time through a dedicated API interface during the operation of the shield equipment;

[0020] The difference between the actual operation time and the operation time specified in the task plan is calculated to obtain the operation scheduling delay difference Δtl, which reflects the delay difference between the planning and scheduling system and the actual operation response.

[0021] Preferably, the data acquisition unit is used to collect operation data in real time based on a sensor group installed on the shield equipment;

[0022] The sensor group includes a torque sensor and a three-axis acceleration sensor;

[0023] The torque sensor is installed at the rear of the main drive of the shield machine to collect the cutter head torque tq of the shield machine in real time, indicating the changing trend of the geological cutting resistance of the shield cutter head.

[0024] The triaxial acceleration sensor is installed at the center of the cutterhead to collect the vibration acceleration av of the shield equipment cutterhead in real time and analyze the acceleration response of the shield leading edge structure caused by geological disturbances;

[0025] The data processing unit is used to process the construction data and the operation data to obtain a path posture data group and a time series dynamic data group;

[0026] The data processing includes data preprocessing and data analysis;

[0027] The data preprocessing includes dimensionless processing, denoising and missing value processing;

[0028] The dimensionless processing is to standardize the construction data and operation data by using Z-Score standardization to eliminate the dimensional effects of all parameters in the characteristic data;

[0029] Denoising uses multi-dimensional filtering technology to suppress noise in the operating data, decomposing and eliminating the noise effects of all parameters in the operating data;

[0030] Missing value processing was performed by using the mean imputation method to fill in the missing values ​​of all parameters in the construction data and operation data;

[0031] The data analysis includes path curvature analysis and disturbance stress analysis;

[0032] The path curvature analysis is used to calculate the path curvature kc based on the acquired continuous advancement coordinate points by using the three-point method to describe the curvature of the advancement path. Specifically, it is: , where mj represents the area of ​​the triangle formed by three points, and a, b, and c represent the lengths of the sides between the three points;

[0033] The disturbance stress analysis is used to calculate the geological disturbance stress md based on the obtained cutter head torque tq and vibration acceleration av, which represents the instantaneous geological disturbance load on the construction advancement surface. Specifically, it is: , where tq(t) and av(t) represent the cutter head torque tq and vibration acceleration av at time t, respectively; k1 and k2 represent the calibration coefficients of the cutter head torque tq and vibration acceleration av, respectively, which are set by the user according to the actual situation of the site;

[0034] The path posture data group includes the actual construction path coordinate vector , construction path coordinate vector of the drawing , propulsion attitude angle sm and curvature kc;

[0035] The time series dynamic data group includes geological disturbance stress md, system control frequency kp and operation scheduling delay difference Δtl.

[0036] Preferably, the tension offset assessment module includes a tension offset analysis unit and a tension offset assessment unit;

[0037] The tension offset analysis unit is used to perform summary calculations based on the path posture data group to obtain the tension gradient offset index zlp, which is used to analyze the current spatial offset tension state of the structural path segment. The specific formula is as follows:

[0038] ;

[0039] Where tanh represents the hyperbolic tangent function, represents the symbol of partial derivative, represents the actual path change rate, Indicates the design path change rate.

[0040] Preferably, the tension offset evaluation unit is used to preset an offset tension response threshold H and perform tension offset evaluation with the offset tension response threshold H obtained in real time. The specific evaluation scheme is as follows:

[0041] When the tension gradient offset index zlp ≤ offset tension response threshold H, it means the offset tension is normal. At this time, normal monitoring is maintained and the original propulsion rate and posture are maintained;

[0042] When the tension gradient offset index zlp>offset tension response threshold H, it indicates that the offset tension is abnormal and there is tension offset. At this time, the propulsion rate is reduced by 30% through the equipment engineering scheduling system, and the offset trend evolution instruction is executed immediately.

[0043] Preferably, the deviation risk assessment module includes a trend analysis unit and a comprehensive deviation risk determination unit;

[0044] The trend analysis unit is configured to execute an offset trend evolution instruction when the tension offset is assessed to be abnormal.

[0045] The deviation trend evolution instruction is used to perform summary calculations based on the time series dynamic data group to obtain the trajectory disturbance trend index grq, which is used to analyze the evolution speed of the deviation inducement in the current working condition. The specific formula is as follows:

[0046] ;

[0047] In the formula, ln represents the logarithmic function, represents the time derivative.

[0048] Preferably, the comprehensive deviation risk determination unit includes a deviation risk analysis unit and a deviation risk assessment unit;

[0049] The deviation risk analysis unit is used to perform a comprehensive calculation based on the obtained tension gradient deviation index zlp and trajectory disturbance trend index grq to obtain the deviation space angle index ris, which is used to analyze whether the path has entered an uncontrollable deviation trend. The specific formula is as follows:

[0050] ;

[0051] Where, tan -1 Represents the inverse tangent function.

[0052] Preferably, the deviation risk assessment unit is used to preset a first angular divergence threshold A and a second angular divergence threshold B, and perform path deviation risk assessment with the deviation space angular index ris obtained in real time. The specific assessment scheme is as follows;

[0053] When the offset spatial angular index ris is less than the first angular divergence threshold A, it means that the spatial path offset is in a safe and controllable area and there is no divergence risk. At this time, normal monitoring is maintained;

[0054] When the first angle divergence threshold A ≤ offset space angle index ris ≤ second angle divergence threshold B, it indicates that there is a risk of offset divergence. At this time, the equipment engineering scheduling system calls the CAD model to detect the spatial redundancy of the connection parts and generates a control plan. It also generates an early warning message and transmits it to the engineer's user terminal device, reminding the engineer to manually confirm whether to activate the control plan.

[0055] When the offset space angular index ris is greater than the second angular divergence threshold B, it means that the advancement path will deviate from the structural connection range. At this time, the equipment engineering scheduling system controls the shield equipment to stop advancing, generates risk information and transmits it to the engineer user terminal device, notifying the engineer to rearrange the path and submit it to the equipment engineering scheduling system.

[0056] Preferably, the visualization module includes an offset visualization unit and a time series playback unit;

[0057] The offset visualization unit is used to extract the coordinate vector of the construction path in the drawing and the actual construction path coordinate vector A green and yellow gradient is mapped onto the path line to form a visual cloud map of the offset intensity. When the assessment result shows that the offset is at risk of divergence, the visual cloud map will flash orange. When the assessment result shows that the advancement path will deviate from the structural connection range, the visual cloud map will flash red.

[0058] The time series playback unit is used to convert the actual construction path coordinate vector A mapping is established with the timestamp, and the spatial segment division is supplemented with a granularity of every 5-meter path segment to establish a bidirectional index. The bidirectional index is the time period to spatial segment index and the spatial segment to the corresponding time period dataset index. The current position trajectory is then highlighted using the rendering engine timer. The user clicks on the currently highlighted trajectory to enter the deep chart, which directly displays the construction data and operation data at the current moment.

[0059] The present invention provides a construction project task progress visualization system. It has the following beneficial effects:

[0060] (1) The system model parsing module extracts the geometric origin and path line object coordinate information of the component instance by performing structured parsing on the CAD model file, and reconstructs the continuous propulsion path curve using the spatial geometry reconstruction algorithm to construct the propulsion direction vector, ensuring that the equipment engineering scheduling system has the ability to understand the path in space. At the same time, the data acquisition module extracts construction data and operation data from the equipment engineering scheduling system and the installed sensor group in real time. The data processing unit finally generates the path posture data group and the time series dynamic data group through dimensionless processing, denoising, missing value filling, path curvature analysis and disturbance stress analysis, establishing a standardized data foundation to support subsequent offset analysis.

[0061] (2) The system's tension offset assessment module calculates the tension gradient offset index zlp based on the path posture data set, identifies whether there is an offset tension anomaly during the propulsion process, and sets the offset tension response threshold H and the tension gradient offset index zlp to perform tension offset assessment and determine whether to trigger the offset trend evolution instruction. The offset risk assessment module is used to enter the offset risk assessment process after the offset tension anomaly is triggered. It calculates the trajectory disturbance trend index grq based on the time series dynamic data set, further fuses the tension gradient offset index zlp with the trajectory disturbance trend index grq, calculates the offset space angular index ris, and sets the first angular divergence threshold A and the second angular divergence threshold B to perform path offset risk assessment, realizing hierarchical management of three risk states: safe and controllable, with divergence risk, and deviating from the structural connection range, corresponding to response measures such as maintaining propulsion, reminding control, and path rearrangement.

[0062] (3) The system's visualization module uses green and yellow gradients to draw offset intensity cloud maps for the construction path in the drawing and the actual construction path, respectively. When the assessment result shows that there is a divergence risk, the path segment is marked with flashing orange. If it deviates from the structural connection range, it is changed to flashing red, enhancing the engineer's intuitive judgment ability. At the same time, the construction path is bound to the timestamp, and a bidirectional index is constructed for every 5-meter path segment. The rendering engine timer is used to realize the path highlight scrolling playback, and when the current track is clicked, a deep chart is called to display the construction data and operation data corresponding to the current moment, realizing information traceability and decision support for the entire construction process. The system as a whole effectively supports the accurate identification of construction paths, the multi-level assessment and response to offset anomalies, and the promotion of visual management of the entire process, improving the transparency of project progress, the accuracy of construction control, and the speed of risk intervention response. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a flow chart of the construction engineering task progress visualization system of the present invention;

[0064] Figure 2 This is a schematic diagram of the operation principle of the construction engineering task progress visualization system of the present invention;

[0065] Figure 3 This is a schematic diagram of the path deviation risk assessment line of the present invention. DETAILED DESCRIPTION

[0066] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0067] Example 1

[0068] See also Figure 1 and Figure 2 , the present invention provides a construction engineering task progress visualization system. To achieve the above purpose, the present invention is implemented through the following technical solutions: including a model analysis module, a data acquisition module, a tension offset assessment module, an offset risk assessment module and a visualization module;

[0069] The model parsing module is used to input the CAD model file into the equipment engineering scheduling system for parsing and constructing the propulsion direction vector;

[0070] The data acquisition module is used to extract the construction data recorded by the equipment engineering scheduling system in real time during the operation of the shield equipment, and collect the operation data of the shield equipment in real time based on the installed sensor group, and then process the construction data and operation data to obtain the path posture data group and the time series dynamic data group;

[0071] The tension offset evaluation module is used to calculate the tension gradient offset index zlp based on the path posture data group to perform tension offset evaluation;

[0072] The deviation risk assessment module is used to calculate the trajectory disturbance trend index grq through the time series dynamic data group when the tension deviation is assessed as abnormal, and then perform comprehensive calculation with the tension gradient deviation index zlp to obtain the deviation space angle index ris to perform path deviation risk assessment;

[0073] The visualization module is used to visually map the actual construction path, trigger a flashing prompt based on the evaluation results, and then use the rendering engine timer to highlight the current position trajectory.

[0074] In this embodiment, the model analysis module inputs the CAD model file into the equipment engineering scheduling system and automatically analyzes its path lines, centerlines, and discrete component information. The system accurately identifies the relative relationships between components and constructs the propulsion direction vector based on the tangent vector at the path starting point. Compared to traditional manual path verification methods based on blueprints, this module significantly improves the accuracy and efficiency of path identification, provides a precise reference coordinate benchmark for subsequent construction monitoring, and addresses the problems of traditional methods such as the disconnection between the model and the on-site propulsion direction and insufficient path abstraction. The data acquisition module extracts construction data recorded by the equipment scheduling system and operational data collected by the sensor array in real time, processes the data, and generates path posture data sets and time-series dynamic data sets, providing sufficient data support for subsequent path assessment. The tension offset assessment module calculates the tension gradient offset index zlp from the path posture data set, accurately assessing the tension offset status of the path. When an abnormal offset tension is detected, the offset risk assessment module further calculates the trajectory disturbance trend index grq. This is then combined with the tension gradient offset index zlp to derive the offset spatial angle index ris, thereby providing risk warning for the construction path. This process not only improves the warning accuracy of construction path deviation, but also effectively avoids the misjudgment of excessively small disturbances by setting multiple thresholds for risk classification, thereby improving the stability and response speed of the system. The visualization module displays the deviation intensity in the form of a visual cloud map, and combines the rendering engine timer to highlight the current position trajectory, allowing engineers to intuitively monitor every key link in the construction process. This visualization processing not only improves the transparency of the construction process, but also greatly enhances the decision-making support capabilities of construction personnel through a real-time dynamic feedback mechanism. Compared with existing traditional monitoring technologies, this system significantly improves the control accuracy of the construction path through real-time data analysis and accurate risk assessment, reduces the potential deviation risk during the construction process, reduces construction safety hazards, and ultimately achieves intelligent and precise management of the progress of construction engineering tasks.

[0075] Example 2

[0076] Please refer to Figure 1 ,Specifically: the model parsing module includes a model importing unit and a model parsing unit;

[0077] The model import unit is used to input the CAD model file provided in the design phase into the equipment engineering scheduling system through the model engine interface, and traverse the CAD model structure tree through the format parser to extract the geometric origin point position of the component instance and the path line object coordinate information defined in the CAD model;

[0078] The equipment engineering scheduling system is the central system of the shield equipment, integrating the system's monitoring, control and data recording functions, and is used to fully record the real-time monitoring, operation control, data collection, data analysis and status feedback of the shield equipment during operation;

[0079] The model parsing unit is used to read the hierarchical structure of the CAD model file based on the equipment engineering scheduling system, identify the center line of the path line, the discrete path of the CAD model and the actual laying trajectory line, and use the spatial geometry reconstruction algorithm to convert the discrete path of the model into a continuous curve, identify the propulsion direction in the CAD model and parse it, extract the coordinates of the discrete nodes along the path, and then construct the propulsion direction vector based on the tangent vector of the starting point of the path.

[0080] In this embodiment, the model parsing module successfully implements efficient import and parsing of CAD model files through the collaborative work of the model import unit and the model parsing unit. The model import unit inputs the CAD model file from the design phase into the equipment engineering scheduling system through the model engine interface. Using a format parser, it traverses the model structure tree to extract the geometric origin and path line coordinate information of the component instance, ensuring the integrity and accuracy of the model data. Next, the model parsing unit reads the model's hierarchical structure based on the equipment engineering scheduling system, accurately identifying the centerline of the path line, discrete paths, and actual laying trajectory lines. It then uses a spatial geometry reconstruction algorithm to convert the discrete paths into continuous curves and further extract the coordinates of discrete nodes along the path. Finally, based on the tangent vector at the path starting point, a propulsion direction vector is constructed, providing a solid digital foundation for subsequent path assessment and risk warning. Through the implementation of this module, precise digital modeling of the construction path is achieved, which not only improves the accuracy of path identification but also lays the foundation for data accuracy and traceability for the entire construction project task progress visualization system, significantly optimizing the planning and monitoring efficiency of the construction path.

[0081] Example 3

[0082] Please refer to Figure 1 ,Specifically: the data acquisition module includes a data extraction unit, a data acquisition unit and a data processing unit;

[0083] The data extraction unit is used to extract the construction data recorded by the equipment engineering scheduling system in real time during the operation of the shield equipment;

[0084] The construction data includes the coordinate vector of the construction path in the drawing , advancement coordinate point, actual operation time, system control frequency kp, actual construction path coordinate vector , propulsion attitude angle sm and operation scheduling delay difference Δtl;

[0085] The drawing construction path coordinate vector Extract engineering standards representing the expected advancement path in real time based on the parsed CAD model;

[0086] The propulsion coordinate point, actual operation time, system control frequency kp, actual construction path coordinate vector The thrust attitude angle sm is extracted from the equipment engineering scheduling system in real time through a dedicated API interface during the operation of the shield equipment;

[0087] The difference between the actual operation time and the operation time specified in the task plan is calculated to obtain the operation scheduling delay difference Δtl, which reflects the delay difference between the planning and scheduling system and the actual operation response.

[0088] The data acquisition unit is used to collect operation data in real time based on the sensor group installed on the shield equipment;

[0089] The sensor group includes a torque sensor and a three-axis acceleration sensor;

[0090] The torque sensor is installed at the rear of the main drive of the shield machine to collect the cutter head torque tq of the shield machine in real time, indicating the changing trend of the geological cutting resistance of the shield cutter head.

[0091] The triaxial acceleration sensor is installed at the center of the cutterhead to collect the vibration acceleration av of the shield equipment cutterhead in real time and analyze the acceleration response of the shield leading edge structure caused by geological disturbances;

[0092] The data processing unit is used to process the construction data and the operation data to obtain a path posture data group and a time series dynamic data group;

[0093] The data processing includes data preprocessing and data analysis;

[0094] The data preprocessing includes dimensionless processing, denoising and missing value processing;

[0095] The dimensionless processing is to standardize the construction data and operation data by using Z-Score standardization to eliminate the dimensional effects of all parameters in the characteristic data;

[0096] Denoising uses multi-dimensional filtering technology to suppress noise in the operating data, decomposing and eliminating the noise effects of all parameters in the operating data;

[0097] Missing value processing was performed by using the mean imputation method to fill in the missing values ​​of all parameters in the construction data and operation data;

[0098] The data analysis includes path curvature analysis and disturbance stress analysis;

[0099] The path curvature analysis is used to calculate the path curvature kc based on the acquired continuous advancement coordinate points by using the three-point method to describe the curvature of the advancement path. Specifically, it is: , where mj represents the area of ​​the triangle formed by three points, and a, b, and c represent the lengths of the sides between the three points;

[0100] The disturbance stress analysis is used to calculate the geological disturbance stress md based on the obtained cutter head torque tq and vibration acceleration av, which represents the instantaneous geological disturbance load on the construction advancement surface. Specifically, it is: , where tq(t) and av(t) represent the cutter head torque tq and vibration acceleration av at time t, respectively; k1 and k2 represent the calibration coefficients of the cutter head torque tq and vibration acceleration av, respectively, which are set by the user according to the actual situation of the site. It indicates that the rate of change of the cutterhead torque reflects the impedance discontinuity of the formation during advancement;

[0101] The path posture data group includes the actual construction path coordinate vector , construction path coordinate vector of the drawing , propulsion attitude angle sm and curvature kc;

[0102] The time series dynamic data group includes geological disturbance stress md, system control frequency kp and operation scheduling delay difference Δtl.

[0103] In this embodiment, the data acquisition module extracts the expected propulsion path coordinate vectors from the CAD model in real time, and combines it with the real-time construction data of the shield equipment to provide basic data support for the precise tracking and offset assessment of the construction path. The data acquisition unit uses the torque sensor and three-axis acceleration sensor installed on the shield equipment to collect the torque and vibration acceleration data of the cutterhead in real time, and then analyzes the geological disturbance stress to provide real-time feedback for path accuracy and construction stability. The data processing unit effectively eliminates data noise and deviation through dimensionless processing, denoising, missing value filling, path curvature analysis and disturbance stress analysis, enhances data quality, and ensures the accuracy of the assessment. The implementation of the overall system not only optimizes the monitoring accuracy of the construction path and improves the accuracy of the job scheduling response, but also effectively enhances the risk prediction and early warning capabilities during the construction process, significantly improving construction efficiency and safety.

[0104] Example 4

[0105] Please refer to Figure 1 ,Specifically: the tension offset evaluation module includes a tension offset analysis unit and a tension offset evaluation unit;

[0106] The tension offset analysis unit is used to perform summary calculations based on the path posture data group to obtain the tension gradient offset index zlp, which is used to analyze the current spatial offset tension state of the structural path segment, that is, whether the path change increases sharply in a short period of time. The specific formula is as follows;

[0107] ;

[0108] Where tanh represents the hyperbolic tangent function, represents the symbol of partial derivative, Indicates the actual path change rate, indicating the current movement trend of the propulsion device. It represents the rate of change of the designed path, represents the time change trend of the ideal path, and tanh(sm) represents the posture change response function. represents the offset velocity vector, the spatial difference between the actual path change rate and the designed path change rate, A nonlinear amplification term used to increase the attitude response to offset.

[0109] The tension offset evaluation unit is used to preset an offset tension response threshold H and perform tension offset evaluation based on the offset tension response threshold H obtained in real time. The specific evaluation scheme is as follows:

[0110] When the tension gradient offset index zlp ≤ offset tension response threshold H, it means the offset tension is normal. At this time, normal monitoring is maintained and the original propulsion rate and posture are maintained;

[0111] When the tension gradient offset index zlp>offset tension response threshold H, it indicates that the offset tension is abnormal and there is tension offset. At this time, the propulsion rate is reduced by 30% through the equipment engineering scheduling system, and the offset trend evolution instruction is executed immediately.

[0112] In this embodiment, the tension offset assessment module achieves real-time monitoring and accurate assessment of construction path tension changes through the collaborative work of the tension offset analysis unit and the tension offset assessment unit. First, the tension offset analysis unit calculates the tension gradient offset index zlp based on the path posture data set. This analyzes the offset tension state of each path segment and detects the abruptness of path changes. This analysis combines the actual path speed, the designed path change rate, and the posture change response function to ensure accurate identification of offset changes.

[0113] The physical meaning of the formula is used to analyze the spatial offset tension state of the construction path in construction projects, involving the changes in path speed and trajectory, and the difference between the designed path and the actual path, revealing the nonlinear characteristics of the path change. It reflects the rate of change of the actual advancement path of the shield equipment during construction, and indicates the deviation rate of the actual path of the shield equipment during the advancement process, revealing the actual progress of the path; the design path change rate It represents the expected changes in the propulsion trajectory in the engineering plan and is compared with the changes in the actual path; tanh(sm) is the hyperbolic tangent function, which represents the posture changes of the shield equipment during the propulsion process. It is used to make nonlinear adjustments to the posture changes and enhance or suppress the sensitivity of path deviation.

[0114] Formula operation logic, actual path change rate and design path change rate The difference between them is the main measure of path variation, which reflects the deviation between the path and the design expectation; the hyperbolic tangent function tanh(sm) is used to nonlinearly amplify the response to path deviation; This is used to adjust for spatial path changes caused by equipment posture changes. By combining these terms, the sensitivity of path deviation can be dynamically adjusted to better reflect actual construction conditions. The above factors are comprehensively calculated to obtain the tension gradient deviation index zlp, which reflects the deviation tension state of the construction path.

[0115] The tension offset assessment unit dynamically monitors offset tension by setting an offset tension response threshold, H, and comparing it with the tension gradient offset index, zlp, in real time. When an abnormal offset tension is detected, the system automatically reduces the propulsion rate and executes the offset trend evolution command, effectively preventing excessive offset. This module not only improves the accuracy of construction path control but also reduces potential risks by timely adjusting propulsion speed and path posture, thereby enhancing construction safety and progress stability.

[0116] Example 5

[0117] Please refer to Figure 1 and Figure 3 ,Specifically: the deviation risk assessment module includes a trend analysis unit and a comprehensive deviation risk determination unit;

[0118] The trend analysis unit is configured to execute an offset trend evolution instruction when the tension offset is assessed to be abnormal.

[0119] The deviation trend evolution instruction is used to perform summary calculations based on the time series dynamic data group to obtain the trajectory disturbance trend index grq, which is used to analyze the evolution speed of the deviation inducement in the current working condition. The specific formula is as follows:

[0120] ;

[0121] In the formula, ln represents the logarithmic function, It represents the time derivative, reflecting the rate of change of the variable over time. ln(az+1) represents the nonlinear term of disturbance stress, which is used to buffer the disturbance sensitivity and prevent false triggering of small disturbances. (kp+Δtl) represents the operational layer inducement composed of the frequency of human intervention and the scheduling response delay. The overall derivative indicates whether the disturbance factor is rapidly increasing.

[0122] The comprehensive deviation risk determination unit includes a deviation risk analysis unit and a deviation risk assessment unit;

[0123] The deviation risk analysis unit is used to perform a comprehensive calculation based on the obtained tension gradient deviation index zlp and trajectory disturbance trend index grq to obtain the deviation space angle index ris, which is used to analyze whether the path has entered an uncontrollable deviation trend. The specific formula is as follows:

[0124] ;

[0125] Where, tan -1 represents the inverse tangent function, Represents the nonlinear tension harmonic term, avoids small value degradation, and amplifies the influence of offset tension, making it more sensitive to trend results and enhancing the responsiveness to changes in the tension gradient offset index zlp. The inverse tangent function tan -1 Used to map nonlinear trends and tension harmonic terms into angle values ​​to form the risk angle.

[0126] The deviation risk assessment unit is used to preset a first angular divergence threshold A and a second angular divergence threshold B, and perform path deviation risk assessment based on the deviation space angular index ris obtained in real time. The specific assessment scheme is as follows;

[0127] When the offset spatial angular index ris is less than the first angular divergence threshold A, it means that the spatial path offset is in a safe and controllable area and there is no divergence risk. At this time, normal monitoring is maintained;

[0128] When the first angle divergence threshold A ≤ offset space angle index ris ≤ second angle divergence threshold B, it indicates that there is a risk of offset divergence. At this time, the equipment engineering scheduling system calls the CAD model to detect the spatial redundancy of the connection parts and generates a control plan. It also generates an early warning message and transmits it to the engineer's user terminal device, reminding the engineer to manually confirm whether to activate the control plan.

[0129] When the offset space angular index ris is greater than the second angular divergence threshold B, it means that the advancement path will deviate from the structural connection range. At this time, the equipment engineering scheduling system controls the shield equipment to stop advancing, generates risk information and transmits it to the engineer user terminal device, notifying the engineer to rearrange the path and submit it to the equipment engineering scheduling system.

[0130] In this embodiment, the excursion risk assessment module effectively enhances the risk prediction and response capabilities for construction project progress through the collaborative work of a trend analysis unit and a comprehensive excursion risk determination unit. In the event of abnormal excursion tension, the trend analysis unit calculates the trajectory disturbance trend index (grq) from a time-series dynamic data set, analyzing the evolution rate of the excursion-inducing factor. This ensures timely identification of increased disturbance factors and prevents false triggering from small disturbances.

[0131] The physical meaning of the formula is to analyze the evolution rate of trajectory disturbance during the progress of construction engineering tasks, to measure the speed of change of disturbance stress, and to identify the dynamics of trajectory change during construction. This expresses the rate of change of the disturbance over time. ln(az+1) represents the nonlinear growth term of the disturbance stress, enhancing the sensitivity to changes in the disturbance. ln(az+1) indicates the degree of change in the disturbance stress. Using a logarithmic function is to account for nonlinear responses, preventing misjudgment of the system by small disturbances while enhancing sensitivity to larger disturbances. (kp+Δtl) reflects the impact of scheduling response and operational delay on disturbances. kp represents the system's response frequency, and Δt represents the scheduling delay difference. The combination of these two factors influences the system's ability to respond to disturbances.

[0132] The formula operation logic calculates the rate of change of the disturbance factor over time, that is, the disturbance trend, by taking the derivative of ln(z+1)*(kp+Δtl). The role of the derivative is to capture the sensitive changes at different moments in the trajectory change, especially when the trajectory disturbance accelerates, so that the changes can be captured in time; the logarithmic function is used to process the change of the disturbance stress, and smooth control is performed when the disturbance change is small, to avoid misjudgment or excessive sensitivity of the system due to too small disturbances, and to ensure the rationality of the algorithm when facing disturbances of different amplitudes; the scheduling frequency kp is combined with the delay difference Δt to reflect the dynamic characteristics of the system response. When the two change, the system's ability to respond to disturbances will also be different.

[0133] The comprehensive offset risk judgment unit calculates the offset space angular index ris through a comprehensive analysis of the tension gradient offset index zlp and the trajectory disturbance trend index grq, further assesses whether the path has entered an uncontrollable offset trend, and performs a path offset risk assessment based on the set first angular divergence threshold A and second angular divergence threshold B. The system automatically triggers CAD model detection, control plan generation, and early warning information transmission, prompting engineers to make manual confirmations and adjustments. When the offset space angular index ris exceeds the second angular divergence threshold, the system controls the equipment to stop advancing and sends a path rearrangement instruction. This module significantly improves the accuracy and safety of construction path control through a combination of precise offset risk warnings, automated responses, and manual intervention, reduces potential structural offset risks, and optimizes risk management efficiency during the construction process.

[0134] The physical meaning of the formula combines the tension gradient excursion index zlp and the trajectory disturbance trend index grq to calculate the path excursion spatial angle index ris, which quantifies the degree and risk of construction path excursion. The excursion spatial angle index ris reflects the geometric properties of path excursion, namely the angle of path excursion, and thus analyzes whether the construction path has entered an uncontrollable excursion trend. The path posture data set and the time series dynamic data set are both time-evolving factors in the dynamic evolution of construction. They reflect the factors that induce, aggravate, and accelerate path excursion. The tension gradient excursion index zlp emphasizes the trend evolution of the inducing factor and reflects whether excursion already exists. The trajectory disturbance trend index grq, when excursion already exists, reflects whether the excursion is intensifying and emphasizes the gradient anomaly of the structural state. The excursion spatial angle index ris combines the tension gradient excursion index zlp and the trajectory disturbance trend index grq to intuitively represent the degree and risk level of excursion in the form of spatial angle.

[0135] Formula operation logic, inverse tangent function tan -1 It is used to map the ratio of the disturbance trend to the tension offset to the "spatial offset angle", combine the disturbance factor with the tension factor, smooth and adjust the response of the path offset, and avoid the mis-amplification of too small disturbances; It is used to ensure that the tension response is always effective and to moderately amplify high-intensity offsets. This term is combined with the trajectory disturbance trend index grq to form a trend response composite term, which is used to evaluate the offset development potential and reflect the passive response of the system.

[0136] Example 6

[0137] Please refer to Figure 1 ,Specifically: the visualization module includes an offset visualization unit and a time series playback unit;

[0138] The offset visualization unit is used to extract the coordinate vector of the construction path in the drawing and the actual construction path coordinate vector A green and yellow gradient is mapped onto the path line to form a visual cloud map of the offset intensity. When the assessment result shows that the offset is at risk of divergence, the visual cloud map will flash orange. When the assessment result shows that the advancement path will deviate from the structural connection range, the visual cloud map will flash red.

[0139] The time series playback unit is used to convert the actual construction path coordinate vector A mapping is established with the timestamp, and the spatial segment division is supplemented with a granularity of every 5-meter path segment to establish a bidirectional index. The bidirectional index is the time period to spatial segment index and the spatial segment to the corresponding time period dataset index. The current position trajectory is then highlighted using the rendering engine timer. The user clicks on the currently highlighted trajectory to enter the deep chart, which directly displays the construction data and operation data at the current moment.

[0140] In this embodiment, the visualization module provides accurate construction path offset monitoring and dynamic data feedback through the combination of an offset visualization unit and a time series playback unit. The offset visualization unit presents the construction path in the drawing and the actual construction path through color gradient mapping, so that construction personnel can intuitively see the intensity of the path offset, and provide real-time feedback on the offset risk through orange and red flashing prompts, thereby improving the early warning response capability during the construction process. The time series playback unit maps the construction path with the timestamp and divides the spatial segments into 5-meter path segments to create a bidirectional index, providing a clear time-space association for real-time monitoring during the construction process. The current trajectory is highlighted through the rendering engine timer, and combined with deep charts, detailed construction data and operation data are provided to help engineers make more accurate decisions during the construction process. The implementation of this module not only improves the real-time and accuracy of construction monitoring, but also effectively reduces the risks caused by path offset through visualization means, optimizes project management and decision support, and enhances construction safety and efficiency.

[0141] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. Construction project task progress visualization system, characterized by: It includes model analysis module, data acquisition module, tension offset assessment module, offset risk assessment module and visualization module; The model parsing module is used to input the CAD model file into the equipment engineering scheduling system for parsing and constructing the propulsion direction vector; The data acquisition module is used to extract the construction data recorded by the equipment engineering scheduling system in real time during the operation of the shield equipment, and collect the operation data of the shield equipment in real time based on the installed sensor group, and then process the construction data and operation data to obtain the path posture data group and the time series dynamic data group; The tension offset evaluation module is used to calculate the tension gradient offset index zlp based on the path posture data group, to analyze the current spatial offset tension state of the structural path segment, and to perform tension offset evaluation; ； Where tanh represents the hyperbolic tangent function, represents the symbol of partial derivative, represents the actual path change rate, It represents the rate of change of the designed path, sm represents the propulsion attitude angle, and kc represents the path curvature, which is calculated by the three-point method as follows: , where mj represents the area of ​​the triangle formed by three points, and a, b, and c represent the lengths of the sides between the three points; The deviation risk assessment module is used to execute the deviation trend evolution instruction when the tension deviation is assessed as deviation tension abnormality, calculate the trajectory disturbance trend index grq through the time series dynamic data group, and then perform comprehensive calculation with the tension gradient deviation index zlp to obtain the deviation space angle index ris to perform path deviation risk assessment; ； ； In the formula, ln represents the logarithmic function, represents the time derivative, tan -1 represents the inverse tangent function, kp represents the system control frequency, and Δtl represents the job scheduling delay difference; The visualization module is used to visually map the actual construction path, trigger a flashing prompt based on the evaluation results, and then use the rendering engine timer to highlight the current position trajectory.

2. The construction project task progress visualization system according to claim 1, characterized in that: The model parsing module includes a model importing unit and a model parsing unit; The model import unit is used to input the CAD model file provided in the design phase into the equipment engineering scheduling system through the model engine interface, and traverse the CAD model structure tree through the format parser to extract the geometric origin point position of the component instance and the path line object coordinate information defined in the CAD model; The equipment engineering scheduling system is the central system of the shield equipment, integrating the system's monitoring, control and data recording functions, and is used to fully record the real-time monitoring, operation control, data collection, data analysis and status feedback of the shield equipment during operation; The model parsing unit is used to read the hierarchical structure of the CAD model file based on the equipment engineering scheduling system, identify the center line of the path line, the discrete path of the CAD model and the actual laying trajectory line, and use the spatial geometry reconstruction algorithm to convert the discrete path of the model into a continuous curve, identify the propulsion direction in the CAD model and parse it, extract the coordinates of the discrete nodes along the path, and then construct the propulsion direction vector based on the tangent vector of the starting point of the path.

3. The construction project task progress visualization system according to claim 2, characterized in that: The data acquisition module includes a data extraction unit, a data acquisition unit and a data processing unit; The data extraction unit is used to extract the construction data recorded by the equipment engineering scheduling system in real time during the operation of the shield equipment; The construction data includes the coordinate vector of the construction path in the drawing , advancement coordinate point, actual operation time, system control frequency kp, actual construction path coordinate vector , propulsion attitude angle sm and operation scheduling delay difference Δtl; The drawing construction path coordinate vector Extract engineering standards representing the expected advancement path in real time based on the parsed CAD model; The propulsion coordinate point, actual operation time, system control frequency kp, actual construction path coordinate vector The thrust attitude angle sm is extracted from the equipment engineering scheduling system in real time through a dedicated API interface during the operation of the shield equipment; The difference between the actual operation time and the operation time specified in the task plan is calculated to obtain the operation scheduling delay difference Δtl, which reflects the delay difference between the planning and scheduling system and the actual operation response.

4. The construction project task progress visualization system according to claim 3, characterized in that: The data acquisition unit is used to collect operation data in real time based on the sensor group installed on the shield equipment; The sensor group includes a torque sensor and a three-axis acceleration sensor; The torque sensor is installed at the rear of the main drive of the shield machine to collect the cutter head torque tq of the shield machine in real time, indicating the changing trend of the geological cutting resistance of the shield cutter head. The triaxial acceleration sensor is installed at the center of the cutterhead to collect the vibration acceleration av of the shield equipment cutterhead in real time and analyze the acceleration response of the shield leading edge structure caused by geological disturbances; The data processing unit is used to process the construction data and the operation data to obtain a path posture data group and a time series dynamic data group; The data processing includes data preprocessing and data analysis; The data preprocessing includes dimensionless processing, denoising and missing value processing; The dimensionless processing is to standardize the construction data and operation data by using Z-Score standardization to eliminate the dimensional effects of all parameters in the characteristic data; Denoising uses multi-dimensional filtering technology to suppress noise in the operating data, decomposing and eliminating the noise effects of all parameters in the operating data; Missing value processing was performed by using the mean imputation method to fill in the missing values ​​of all parameters in the construction data and operation data; The data analysis includes path curvature analysis and disturbance stress analysis; The path curvature analysis is used to calculate the path curvature kc based on the acquired continuous advancement coordinate points by using the three-point method to describe the curvature of the advancement path; The disturbance stress analysis is used to calculate the geological disturbance stress md based on the obtained cutter head torque tq and vibration acceleration av, which represents the instantaneous geological disturbance load on the construction advancement surface. Specifically, it is: , where tq(t) and av(t) represent the cutter head torque tq and vibration acceleration av at time t, respectively; k1 and k2 represent the calibration coefficients of the cutter head torque tq and vibration acceleration av, respectively, which are set by the user according to the actual situation of the site; The path posture data group includes the actual construction path coordinate vector , construction path coordinate vector of the drawing , propulsion attitude angle sm and curvature kc; The time series dynamic data group includes geological disturbance stress md, system control frequency kp and operation scheduling delay difference Δtl.

5. The construction project task progress visualization system according to claim 4, characterized in that: The tension offset assessment module includes a tension offset analysis unit and a tension offset assessment unit; The tension offset analysis unit is used to perform summary calculations based on the path posture data group to obtain the tension gradient offset index zlp, which is used to analyze the current spatial offset tension state of the structural path segment.

6. The construction project task progress visualization system according to claim 5, characterized in that: The tension offset evaluation unit is used to preset an offset tension response threshold H and perform tension offset evaluation based on the offset tension response threshold H obtained in real time. The specific evaluation scheme is as follows: When the tension gradient offset index zlp ≤ offset tension response threshold H, it means the offset tension is normal. At this time, normal monitoring is maintained and the original propulsion rate and posture are maintained; When the tension gradient offset index zlp>offset tension response threshold H, it indicates that the offset tension is abnormal and there is tension offset. At this time, the propulsion rate is reduced by 30% through the equipment engineering scheduling system, and the offset trend evolution instruction is executed immediately.

7. The construction project task progress visualization system according to claim 6, characterized in that: The excursion risk assessment module includes a trend analysis unit and a comprehensive excursion risk determination unit; The trend analysis unit is configured to execute an offset trend evolution instruction when the tension offset is assessed to be abnormal. The deviation trend evolution instruction is used to perform summary calculations based on the time series dynamic data group to obtain the trajectory disturbance trend index grq, which is used to analyze the evolution speed of the deviation inducement in the current working condition.

8. The construction project task progress visualization system according to claim 7, characterized in that: The comprehensive deviation risk determination unit includes a deviation risk analysis unit and a deviation risk assessment unit; The deviation risk analysis unit is used to perform comprehensive calculation based on the obtained tension gradient deviation index zlp and trajectory disturbance trend index grq to obtain the deviation space angle index ris, which is used to analyze whether the path enters an uncontrollable deviation trend.

9. The construction engineering task progress visualization system according to claim 8, characterized in that: The deviation risk assessment unit is used to preset a first angular divergence threshold A and a second angular divergence threshold B, and perform path deviation risk assessment based on the deviation space angular index ris obtained in real time. The specific assessment scheme is as follows; When the offset spatial angular index ris is less than the first angular divergence threshold A, it means that the spatial path offset is in a safe and controllable area and there is no divergence risk. At this time, normal monitoring is maintained; When the first angle divergence threshold A ≤ offset space angle index ris ≤ second angle divergence threshold B, it indicates that there is a risk of offset divergence. At this time, the equipment engineering scheduling system calls the CAD model to detect the spatial redundancy of the connection parts and generates a control plan. It also generates an early warning message and transmits it to the engineer's user terminal device, reminding the engineer to manually confirm whether to activate the control plan. When the offset space angular index ris is greater than the second angular divergence threshold B, it means that the advancement path will deviate from the structural connection range. At this time, the equipment engineering scheduling system controls the shield equipment to stop advancing, generates risk information and transmits it to the engineer user terminal device, notifying the engineer to rearrange the path and submit it to the equipment engineering scheduling system.

10. The construction engineering task progress visualization system according to claim 1, characterized in that: The visualization module includes an offset visualization unit and a time series playback unit; The offset visualization unit is used to extract the coordinate vector of the construction path in the drawing and the actual construction path coordinate vector A green and yellow gradient is mapped onto the path line to form a visual cloud map of the offset intensity. When the assessment result shows that the offset is at risk of divergence, the visual cloud map will flash orange. When the assessment result shows that the advancement path will deviate from the structural connection range, the visual cloud map will flash red. The time series playback unit is used to convert the actual construction path coordinate vector A mapping is established with the timestamp, and the spatial segment division is supplemented with a granularity of every 5-meter path segment to establish a bidirectional index. The bidirectional index is the time period to spatial segment index and the spatial segment to the corresponding time period dataset index. The current position trajectory is then highlighted using the rendering engine timer. The user clicks on the currently highlighted trajectory to enter the deep chart, which directly displays the construction data and operation data at the current moment.

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