Construction project progress management platform

Abstract

The invention relates to the technical field of project management, and particularly discloses a construction project progress management platform, which comprises a data acquisition module, a data processing module, a dynamic adjustment module and a collaborative application module, the data acquisition module acquires real-time data of a construction site; the data processing module is used for processing the collected data; the dynamic adjustment module establishes a dynamic optimization model and a resource scheduling model; the collaborative application module supports a construction party, a supervisor and an owner to check the progress and feedback in real time; according to the invention, the actual data of the construction site can be monitored and acquired in real time, the construction plan and resource allocation are dynamically adjusted through the established model, and the construction efficiency and management level are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering management, and more specifically, to a construction engineering progress management platform. Background Art

[0002] Existing road construction projects face great challenges in construction schedule management due to the complexity of construction procedures, wide regional coverage, and the impact of multiple uncertain factors such as weather, traffic flow, resource allocation, and equipment failure. Traditional construction progress monitoring mainly relies on manual records, paper documents, and a single management tool. It is impossible to obtain the actual status of the construction site in real time, and the synchronization with the planned progress is poor. Once an emergency occurs, such as delayed material supply or equipment failure, it is often difficult to adjust the construction plan in time, which may cause construction delays and waste of resources. In addition, the information transmission efficiency between construction units, supervision units, and owners is low, which further aggravates the difficulty of collaboration and affects the timeliness and accuracy of management decisions. Therefore, there is an urgent need for an intelligent progress management platform that can integrate real-time monitoring, dynamic adjustment, and multi-party collaboration functions to cope with complex construction environments and improve construction efficiency and management levels. Summary of the invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a construction project progress management platform, which collects real-time data from the construction site, monitors and obtains the actual status of the construction site in real time. The data processing module cleans, integrates, analyzes and detects anomalies of the data. The dynamic adjustment module optimizes the construction plan and resource allocation by establishing a dynamic adjustment model and a resource scheduling model, and adjusts the construction plan in time to avoid construction delays and waste of resources, thereby improving construction efficiency and management level. At the same time, the collaborative application module realizes cloud data sharing and multi-party collaboration to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions: A construction project progress management platform includes a data acquisition module, a data processing module, a dynamic adjustment module and a collaborative application module; the data acquisition module monitors and collects data on the construction site in real time; the data processing module cleans, aligns and integrates the data, and dynamically analyzes the construction progress based on an evaluation model, the formula of the evaluation model is: ,in, is the first deviation index, i.e. The deviation index of each task, For real-time acquisition tasks The actual amount of completion, For planned tasks The planned completion amount as of the current moment; the dynamic adjustment module includes a dynamic adjustment unit, a resource scheduling unit and a visualization unit. According to the dynamic adjustment unit, a dynamic adjustment model is established based on the real-time collected construction site data to dynamically optimize the construction plan and adjust the priority of the task to ensure that the project is advanced as planned or reduce the impact of delays. The formula of the dynamic adjustment model is: , Where: is the first objective function, which comprehensively considers the weight adjustment of construction period, resources and key tasks; The total number of tasks for the construction project; For practical tasks completion time; For planned tasks completion time; An adjustment factor to balance the construction period; The number and types of equipment and materials used in construction projects; For actual resources Amount of usage; The upper limit of the resources that can be used; An adjustment factor to balance resources; It is a collection of all key tasks in construction projects; Indexing for key tasks; For mission critical The priority weight of To shorten critical tasks by accelerating resource input time; is a constant to prevent the denominator from being zero; An adjustment factor to balance the priorities of critical tasks.

[0005] As a further solution of the present invention, the data acquisition module collects real-time data of the construction site, including the following specific contents: UAV technology is widely used for efficient data collection of road construction. By regularly cruising and shooting panoramic images and high-definition videos of the construction site, the drone can not only quickly cover the construction area, but also capture the details of the construction progress through the high-resolution camera and infrared imaging equipment carried. At the same time, the video monitoring equipment is deployed at the key nodes of the construction site to record the site dynamics in real time. The key nodes include the main construction sections, material storage areas and equipment use areas, and the video content is analyzed by artificial intelligence image recognition technology to identify the completion of construction tasks and abnormal behaviors on site. Environmental data such as temperature, humidity, wind speed and direction, and rainfall are collected by meteorological monitoring sensors installed at the construction site. The environmental data can not only provide a scientific basis for the formulation of construction plans, but also provide timely warnings when bad weather may affect the construction progress, thereby improving construction safety.

[0006] The data acquisition module also uses wireless data transmission technology to ensure that the data collected on site can be uploaded to the platform's cloud server in real time and stably. In order to improve the accuracy and integrity of the data, the data acquisition module is also equipped with a variety of data redundancy collection and verification mechanisms. For the positioning information of construction equipment, it can combine GPS data and data recorded by RFID sensors at the same time to ensure high-precision recording of equipment location and reduce the impact of single equipment collection errors.

[0007] As a further solution of the present invention, the data processing module processes the collected data, including the following specific contents: the data processing module includes a data preprocessing unit, a progress analysis unit and an anomaly detection unit; the function of the data preprocessing unit is to systematically clean and integrate the multi-source data uploaded by the data acquisition module. Since the data sources at the construction site are diverse, including sensor equipment, drones, video surveillance equipment and manual input, the collected data may have redundancy, missing, inconsistency or anomaly problems. Direct use of these data may lead to misjudgment or inefficiency. Therefore, the data preprocessing unit first performs quality inspection and filtering on the original data to eliminate obvious abnormal data points, such as invalid readings generated by equipment sensors due to failures or offset data in GPS positioning; secondly, the data preprocessing unit completes the missing data, such as using interpolation to complete missing values ​​in continuous time series, or inferring missing information from historical data based on similarity algorithms. While cleaning the data, the data preprocessing unit also aligns and integrates multi-source data in time and space. For example, the data preprocessing unit aligns the operating status data of construction equipment, personnel location data and environmental monitoring data according to a unified timestamp to ensure that information of different dimensions is consistent at the same time point. For spatial data, such as construction area images generated by drones and geographic location data collected by sensors, the data preprocessing unit unifies them into the same spatial reference system through coordinate transformation, thereby generating a spatial correlation model.

[0008] The progress analysis unit compares and analyzes the real-time collected data with the pre-formulated construction plan data to establish an evaluation model, thereby evaluating the deviation between the actual progress of the project and the planned target, and calculating the first deviation index through the evaluation model. , and further obtain the deviation of the entire project. The calculation formula is: , Where: is the second deviation index, i.e. the deviation index of the entire project, is the total number of construction project tasks, For real-time acquisition tasks The actual amount of completion, For planned tasks The planned completion amount as of the current moment.

[0009] The anomaly detection unit dynamically analyzes the multi-source data collected in real time to detect abnormal problems such as construction progress delays and equipment failures, and triggers alarms in time so that managers can respond quickly. The anomaly detection unit dynamically evaluates the construction progress management according to the deviation index calculated by the evaluation model. If the first deviation index is If the value exceeds 15% of the set threshold, a delay warning is triggered; the abnormality detection unit integrates the equipment sensor data and compares it with the normal operating parameters of the equipment to identify potential failure risks in real time. For example, when the operating temperature of the equipment continues to be higher than the set upper limit or the vibration frequency fluctuates abnormally, the abnormality detection unit will mark the equipment as a high-risk state and issue a failure warning; the abnormality detection unit also combines environmental data and construction condition data to establish a risk assessment model, derive a risk assessment value, and comprehensively judge whether external conditions will affect construction safety or progress. The formula of the risk assessment model is: , Where: is the risk assessment value; The temperature condition deviation indicates the degree of deviation between the current ambient temperature and the preset temperature safety threshold. satisfy ,in, is the current ambient temperature, is the preset temperature safety threshold; is the scaling factor used to balance the effect of temperature on risk assessment; It is a construction condition pressure indicator, which measures the load of resource utilization during the construction process. satisfy ,in, is the personnel utilization rate, which indicates the ratio of actual personnel on the construction site to the planned personnel. is the relative importance weight of personnel utilization rate to construction condition pressure, is the equipment utilization rate, which indicates the ratio of the actual operating time of the equipment to the planned operating time. is the relative importance weight of equipment utilization to construction condition pressure, The material usage rate indicates the ratio of the actual material usage to the planned usage at the construction site. is the relative importance weight of material utilization to construction condition pressure; It is a proportional factor used to balance the impact of construction condition pressure index on risk assessment; is the current wind speed; It is the maximum wind speed that the construction equipment can withstand during normal operation; is a proportional factor used to balance the impact of wind speed on risk assessment; if the risk assessment value Exceeding the preset threshold , a security alarm will be triggered.

[0010] As a further solution of the present invention, the dynamic adjustment module establishes a dynamic optimization model through a dynamic adjustment unit, adjusts task priorities in real time to optimize the construction plan, and combines with the resource scheduling unit to dynamically allocate equipment, personnel and materials through the resource scheduling model to improve resource utilization and reduce construction delays; at the same time, the visualization unit integrates map annotations and three-dimensional construction site models, and dynamically displays construction tasks, resource distribution and real-time progress with geographic information systems and virtual modeling technology, including the following specific contents: the dynamic adjustment module includes a dynamic adjustment unit, a resource scheduling unit and a visualization unit; the dynamic adjustment unit establishes a dynamic adjustment model based on real-time collected construction site data, dynamically optimizes the construction plan, adjusts the priority of the task, and ensures that the project proceeds as planned or reduces the impact of delays.

[0011] The resource scheduling unit adjusts the allocation of equipment, personnel and materials in real time according to real-time demand through the established resource scheduling model to optimize resource utilization. The formula of the resource scheduling model is: , Where: is the second objective function; The total number of tasks for the construction project; The number and types of equipment and materials used in construction projects; For the task Actual resources obtained the number of For the task Pre-planned resource requirements; The time period for the construction project; For the task In time the amount of resources allocated; The upper limit of the total amount of resources available for construction projects; For resources Target utilization under ideal conditions; by optimizing the second objective function , while meeting resource requirements and upper limit constraints, balance resource allocation, ensure smooth construction progress and reduce resource waste or overload, and finally output the optimal resource allocation plan after real-time adjustment.

[0012] The visualization unit has a map annotation function. The map annotation function is based on geographic information system (GIS) technology, and overlays key information such as task distribution, equipment location, and personnel activity area of ​​the construction site on the geographic map for visual display. Each annotation point can be displayed in different colors or icons according to the task status, and supports clicking to view task details, current progress, and resource allocation. In addition, the map annotation function can also be dynamically updated, such as real-time reflection of the equipment movement trajectory, material transportation route, and the impact of weather changes on construction, helping managers to grasp the overall construction from a macro perspective; the visualization unit can also generate a three-dimensional construction site model, and generate a three-dimensional virtual construction scene by combining drone aerial photography, laser scanning, and building information modeling data, and intuitively present the buildings, equipment, task areas, and their associated data in the construction area to the manager. The three-dimensional construction site model not only supports zooming and rotation operations, but also can display specific information through different layers, such as equipment status, task priority, and resource distribution. The manager can observe the construction progress in real time through the three-dimensional construction site model, such as checking the pouring progress of the bridge or analyzing the completion of tasks on the critical path.

[0013] As a further solution of the present invention, the collaborative application module integrates construction plans, task allocation, resource usage and monitoring data through cloud data sharing and authority management, realizes multi-party collaboration and information synchronization, and effectively reduces communication delays and information loss; at the same time, its report generation unit dynamically generates multi-granularity reports based on real-time data, covering task progress, resource allocation and trend analysis, including the following specific contents: the collaborative application module includes a multi-party collaboration unit and a report generation unit; the collaborative application module, through cloud data sharing, uniformly stores and manages information such as construction plans, task allocation, resource usage, real-time monitoring data and anomaly detection results, and opens permissions for access by different roles. For example, the construction party can update the task completion status in real time and upload on-site photos or videos; the supervision party can directly mark problem points and put forward rectification suggestions; the owner can check the overall progress of the project and the completion status of key nodes at any time. This information synchronization reduces the delay and information loss problems in traditional multi-party communication and greatly improves the collaboration efficiency. The multi-party collaboration unit also provides instant messaging function, supports text, voice and video communication, and helps multiple parties quickly discuss and solve problems in the construction process.

[0014] The report generation unit summarizes scattered real-time data, analysis results and task status into clear and easy-to-read documents, supports multiple report formats, including daily reports, weekly reports, monthly reports and custom reports, so that multiple parties can view them. It can generate content of different granularities according to time nodes and needs. For example, the daily report focuses on displaying the day's task completion progress, resource allocation and abnormal situations; the weekly report comprehensively analyzes the completion rate of key nodes in the task chain, resource utilization efficiency and adjustment measures during the construction process; and the monthly report pays more attention to trend analysis and summary.

[0015] As a further solution of the present invention, the data processing module is connected to the data acquisition module, the dynamic adjustment module is connected to the data processing module, and the collaborative application module is connected to the dynamic adjustment module.

[0016] The technical effects and advantages of a construction project progress management platform of the present invention are as follows: the present invention collects real-time data of the construction site through the data acquisition module, and can obtain the actual status of the construction site in real time. The data processing module cleans, integrates, analyzes and detects anomalies of the data. The dynamic adjustment module establishes a model to optimize the construction plan and resource allocation, and timely adjusts the construction plan to avoid construction delays and waste of resources. The collaborative application module realizes cloud data sharing and multi-party collaboration, improves the efficiency of information transmission between construction units, supervision units and owners, reduces the difficulty of collaboration, and improves the timeliness and accuracy of management decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a structural schematic diagram of a construction project progress management platform of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention. Example

[0019] See also Figure 1As shown in the structural schematic diagram, an embodiment of the present invention provides a construction project progress management platform, which includes a data acquisition module, a data processing module, a dynamic adjustment module and a collaborative application module; the data acquisition module collects real-time data of the construction site; the data processing module processes the collected data; the dynamic adjustment module establishes a dynamic optimization model through the dynamic adjustment unit, adjusts the task priority in real time to optimize the construction plan, and dynamically allocates equipment, personnel and materials through the resource scheduling model in combination with the resource scheduling unit, thereby improving resource utilization and reducing construction delays; at the same time, the visualization unit integrates map annotations and three-dimensional construction site models, and dynamically displays construction tasks, resource distribution and real-time progress with geographic information systems and virtual modeling technology; the collaborative application module integrates construction plans, task allocation, resource usage and monitoring data through cloud data sharing and authority management, realizes multi-party collaboration and information synchronization, and effectively reduces communication delays and information loss; its report generation unit dynamically generates multi-granularity reports based on real-time data, covering task progress, resource allocation and trend analysis.

[0020] Furthermore, the data acquisition module collects real-time data of the construction site, including the following specific contents: UAV technology is widely used for efficient data collection of road construction. By regularly cruising and shooting panoramic images and high-definition videos of the construction site, the drone can not only quickly cover the construction area, but also capture the details of the construction progress through the high-resolution camera and infrared imaging equipment carried. At the same time, video monitoring equipment is deployed at key nodes of the construction site to record the site dynamics in real time. The key nodes include the main construction sections, material storage areas and equipment use areas, and analyze the video content through artificial intelligence image recognition technology to identify the completion of construction tasks and abnormal behaviors on site. Environmental data such as temperature, humidity, wind speed and direction, and rainfall are collected by meteorological monitoring sensors installed at the construction site. The environmental data can not only provide a scientific basis for the formulation of construction plans, but also provide timely warnings when bad weather may affect the construction progress, thereby improving construction safety.

[0021] The data acquisition module also uses wireless data transmission technology to ensure that the data collected on site can be uploaded to the platform's cloud server in real time and stably. In order to improve the accuracy and integrity of the data, the data acquisition module is also equipped with a variety of data redundancy collection and verification mechanisms. For the positioning information of construction equipment, it can combine GPS data and data recorded by RFID sensors at the same time to ensure high-precision recording of equipment location and reduce the impact of single equipment collection errors.

[0022] Furthermore, the data processing module processes the collected data, including the following specific contents: the data processing module includes a data preprocessing unit, a progress analysis unit and an anomaly detection unit; the function of the data preprocessing unit is to systematically clean and integrate the multi-source data uploaded by the data acquisition module. Since the data sources at the construction site are diverse, including sensor equipment, drones, video surveillance equipment and manual input, the collected data may have redundancy, missing, inconsistency or anomaly problems. Direct use of these data may lead to misjudgment or inefficiency. Therefore, the data preprocessing unit first performs quality inspection and filtering on the original data to eliminate obvious abnormal data points, such as invalid readings generated by equipment sensors due to failures or offset data in GPS positioning; secondly, the data preprocessing unit completes the missing data, such as using interpolation to complete missing values ​​in continuous time series, or inferring missing information from historical data based on similarity algorithms. While cleaning the data, the data preprocessing unit also aligns and integrates multi-source data in time and space. For example, the data preprocessing unit aligns the operating status data of construction equipment, personnel location data and environmental monitoring data according to a unified timestamp to ensure that information of different dimensions is consistent at the same time point. For spatial data, such as construction area images generated by drones and geographic location data collected by sensors, the data preprocessing unit unifies them into the same spatial reference system through coordinate transformation, thereby generating a spatial correlation model.

[0023] The progress analysis unit compares and analyzes the real-time collected data with the pre-formulated construction plan data to establish an evaluation model, thereby evaluating the deviation between the actual progress of the project and the planned target. The formula of the evaluation model is: , Where: is the first deviation index, i.e. The deviation index of each task, For real-time acquisition tasks The actual amount of completion, For planned tasks The planned completion amount up to the current moment; by calculating the first deviation index , and further obtain the deviation of the entire project. The calculation formula is: , Where: is the second deviation index, i.e. the deviation index of the entire project, is the total number of construction project tasks, For real-time acquisition tasks The actual amount of completion, For planned tasks The planned completion amount as of the current moment.

[0024] The anomaly detection unit dynamically analyzes the multi-source data collected in real time to detect abnormal problems such as construction progress delays and equipment failures, and triggers alarms in time so that managers can respond quickly. The anomaly detection unit dynamically evaluates the construction progress management according to the deviation index calculated by the evaluation model. If the first deviation index is If the value exceeds 15% of the set threshold, a delay warning is triggered; the abnormality detection unit integrates the equipment sensor data and compares it with the normal operating parameters of the equipment to identify potential failure risks in real time. For example, when the operating temperature of the equipment continues to be higher than the set upper limit or the vibration frequency fluctuates abnormally, the abnormality detection unit will mark the equipment as a high-risk state and issue a failure warning; the abnormality detection unit also combines environmental data and construction condition data to establish a risk assessment model, derive a risk assessment value, and comprehensively judge whether external conditions will affect construction safety or progress. The formula of the risk assessment model is: , Where: is the risk assessment value; The temperature condition deviation indicates the degree of deviation between the current ambient temperature and the preset temperature safety threshold. satisfy ,in, is the current ambient temperature, is the preset temperature safety threshold; is the scaling factor used to balance the effect of temperature on risk assessment; It is a construction condition pressure indicator, which measures the load of resource utilization during the construction process. satisfy ,in, is the personnel utilization rate, which indicates the ratio of actual personnel on the construction site to the planned personnel. is the relative importance weight of personnel utilization rate to construction condition pressure, is the equipment utilization rate, which indicates the ratio of the actual operating time of the equipment to the planned operating time. is the relative importance weight of equipment utilization to construction condition pressure, The material usage rate indicates the ratio of the actual material usage to the planned usage at the construction site. is the relative importance weight of material utilization to construction condition pressure; It is a proportional factor used to balance the impact of construction condition pressure index on risk assessment; is the current wind speed; It is the maximum wind speed that the construction equipment can withstand during normal operation; is a proportional factor used to balance the impact of wind speed on risk assessment; if the risk assessment value Exceeding the preset threshold , a security alarm will be triggered.

[0025] Furthermore, the dynamic adjustment module establishes a dynamic optimization model through a dynamic adjustment unit, adjusts the task priority in real time to optimize the construction plan, and combines the resource scheduling unit to dynamically allocate equipment, personnel and materials through the resource scheduling model to improve resource utilization and reduce construction delays; at the same time, the visualization unit integrates map annotations and three-dimensional construction site models, and dynamically displays construction tasks, resource distribution and real-time progress with geographic information systems and virtual modeling technology, including the following specific contents: The dynamic adjustment module includes a dynamic adjustment unit, a resource scheduling unit and a visualization unit; the dynamic adjustment unit establishes a dynamic adjustment model based on the real-time collected construction site data, dynamically optimizes the construction plan, adjusts the priority of the task, ensures that the project proceeds as planned or reduces the impact of delays, and the formula of the dynamic adjustment model is: , Where: is the first objective function, which comprehensively considers the weight adjustment of construction period, resources and key tasks; The total number of tasks for the construction project; For practical tasks completion time; For planned tasks completion time; An adjustment factor to balance the construction period; The number and types of equipment and materials used in construction projects; For actual resources Amount of usage; The upper limit of the resources that can be used; An adjustment factor to balance resources; It is a collection of all key tasks in construction projects; Indexing for key tasks; For mission critical The priority weight of To shorten critical tasks by accelerating resource input time; is a constant to prevent the denominator from being zero; An adjustment factor to balance the priorities of critical tasks.

[0026] The resource scheduling unit adjusts the allocation of equipment, personnel and materials in real time according to real-time demand through the established resource scheduling model to optimize resource utilization. The formula of the resource scheduling model is: , Where: is the second objective function; The total number of tasks for the construction project; The number and types of equipment and materials used in construction projects; For the task Actual resources obtained the number of For the task Pre-planned resource requirements; The time period for the construction project; For the task In time the amount of resources allocated; The upper limit of the total amount of resources available for construction projects; For resources Target utilization under ideal conditions; by optimizing the second objective function , while meeting resource requirements and upper limit constraints, balance resource allocation, ensure smooth construction progress and reduce resource waste or overload, and finally output the optimal resource allocation plan after real-time adjustment.

[0027] The visualization unit has a map annotation function. The map annotation function is based on geographic information system (GIS) technology, and overlays key information such as task distribution, equipment location, and personnel activity area of ​​the construction site on the geographic map for visual display. Each annotation point can be displayed in different colors or icons according to the task status, and supports clicking to view task details, current progress, and resource allocation. In addition, the map annotation function can also be dynamically updated, such as real-time reflection of the equipment movement trajectory, material transportation route, and the impact of weather changes on construction, helping managers to grasp the overall construction from a macro perspective; the visualization unit can also generate a three-dimensional construction site model, and generate a three-dimensional virtual construction scene by combining drone aerial photography, laser scanning, and building information modeling data, and intuitively present the buildings, equipment, task areas, and their associated data in the construction area to the manager. The three-dimensional construction site model not only supports zooming and rotation operations, but also can display specific information through different layers, such as equipment status, task priority, and resource distribution. The manager can observe the construction progress in real time through the three-dimensional construction site model, such as checking the pouring progress of the bridge or analyzing the completion of tasks on the critical path.

[0028] Furthermore, the collaborative application module integrates construction plans, task allocation, resource usage and monitoring data through cloud data sharing and authority management, realizes multi-party collaboration and information synchronization, and effectively reduces communication delays and information loss; at the same time, its report generation unit dynamically generates multi-granularity reports based on real-time data, covering task progress, resource allocation and trend analysis, including the following specific contents: The collaborative application module includes a multi-party collaboration unit and a report generation unit; The collaborative application module uses cloud data sharing to uniformly store and manage information such as construction plans, task allocation, resource usage, real-time monitoring data and anomaly detection results, and opens permissions for different roles to access. For example, the construction party can update the task completion status in real time and upload on-site photos or videos; the supervision party can directly mark problem points and put forward rectification suggestions; the owner can check the overall progress of the project and the completion status of key nodes at any time. This information synchronization reduces the delay and information loss problems in traditional multi-party communication and greatly improves collaboration efficiency. The multi-party collaboration unit also provides instant messaging function, supports text, voice and video communication, and helps multiple parties quickly discuss and solve problems in the construction process.

[0029] The report generation unit summarizes scattered real-time data, analysis results and task status into clear and easy-to-read documents, supports multiple report formats, including daily reports, weekly reports, monthly reports and custom reports, so that multiple parties can view them. It can generate content of different granularities according to time nodes and needs. For example, the daily report focuses on displaying the day's task completion progress, resource allocation and abnormal situations; the weekly report comprehensively analyzes the completion rate of key nodes in the task chain, resource utilization efficiency and adjustment measures during the construction process; and the monthly report pays more attention to trend analysis and summary.

[0030] In this embodiment, the data processing module is connected to the data acquisition module, the dynamic adjustment module is connected to the data processing module, and the collaborative application module is connected to the dynamic adjustment module.

[0031] The present invention collects real-time data of the construction site through the data acquisition module, and can obtain the actual status of the construction site in real time. The data processing module cleans, integrates, analyzes and detects anomalies of the data. The dynamic adjustment module establishes a model to optimize the construction plan and resource allocation, and adjusts the construction plan in time to avoid construction delays and waste of resources. The collaborative application module realizes cloud data sharing and multi-party collaboration, improves the efficiency of information transmission between construction units, supervision units and owners, reduces the difficulty of collaboration, and improves the timeliness and accuracy of management decisions.

[0032] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0033] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A construction project progress management platform, characterized in that: It includes a data acquisition module, a data processing module, a dynamic adjustment module and a collaborative application module; the data acquisition module monitors and collects data on the construction site in real time; the data processing module cleans, aligns and integrates the data, and dynamically analyzes the construction progress based on the evaluation model. The formula of the evaluation model is: ,in, is the first deviation index, i.e. The deviation index of each task, For real-time acquisition tasks The actual amount of completion, For planned tasks The planned completion amount as of the current moment; the dynamic adjustment module includes a dynamic adjustment unit, a resource scheduling unit and a visualization unit. According to the construction site data collected by the dynamic adjustment unit, a dynamic adjustment model is established to dynamically optimize the construction plan, adjust the priority of the task, ensure that the project is carried out as planned or reduce the impact of delays, and the formula of the dynamic adjustment model is: ， Where: is the first objective function, which comprehensively considers the weight adjustment of construction period, resources and key tasks; The total number of tasks for the construction project; For practical tasks completion time; For planned tasks completion time; An adjustment factor to balance the construction period; The number and types of equipment and materials used in construction projects; For actual resources Amount of usage; The upper limit of the resources that can be used; An adjustment factor to balance resources; It is a collection of all key tasks in construction projects; Indexing for key tasks; For mission critical The priority weight of To shorten critical tasks by accelerating resource input time; is a constant to prevent the denominator from being zero; An adjustment factor to balance the priorities of critical tasks.

2. A construction project progress management platform according to claim 1, characterized in that: The resource scheduling unit adjusts the allocation of equipment, personnel and materials in real time according to real-time demand through the established resource scheduling model to optimize resource utilization. The formula of the resource scheduling model is: ， Where: is the second objective function; The total number of tasks for the construction project; The number and types of equipment and materials used in construction projects; For the task Actual resources obtained the number of For the task Pre-planned resource requirements; The time period for the construction project; For the task In time The amount of resources allocated; The upper limit of the total amount of resources available for construction projects; For resources Target utilization under ideal conditions.

3. A construction project progress management platform according to claim 1, characterized in that: The data processing module includes a data preprocessing unit, a progress analysis unit and an anomaly detection unit. The progress analysis unit compares and analyzes the real-time collected data with the pre-formulated construction plan data to establish an evaluation model, thereby evaluating the deviation between the actual progress of the project and the planned target. The first deviation index calculated by the evaluation model , and further obtain the deviation of the entire project. The calculation formula is: ， Where: is the second deviation index, i.e. the deviation index of the entire project, is the total number of construction project tasks, For real-time acquisition tasks The actual amount of completion, For planned tasks The planned completion amount as of the current moment.

4. A construction project progress management platform according to claim 3, characterized in that: The anomaly detection unit combines environmental data and construction condition data to establish a risk assessment model, obtain a risk assessment value, and comprehensively judge whether the external conditions will affect the construction safety or progress. The formula of the risk assessment model is: ， Where: is the risk assessment value; The temperature condition deviation indicates the degree of deviation between the current ambient temperature and the preset temperature safety threshold. satisfy ,in, is the current ambient temperature, is the preset temperature safety threshold; is the scaling factor used to balance the effect of temperature on risk assessment; It is a construction condition pressure indicator, which measures the load of resource utilization during the construction process. satisfy ,in, is the personnel utilization rate, which indicates the ratio of actual personnel on the construction site to the planned personnel. is the relative importance weight of personnel utilization rate to construction condition pressure, is the equipment utilization rate, which indicates the ratio of the actual operating time of the equipment to the planned operating time. is the relative importance weight of equipment utilization to construction condition pressure, The material usage rate indicates the ratio of the actual material usage to the planned usage at the construction site. is the relative importance weight of material utilization to construction condition pressure; It is a proportional factor used to balance the impact of construction condition pressure index on risk assessment; is the current wind speed; It is the maximum wind speed that the construction equipment can withstand during normal operation; is a proportional factor used to balance the impact of wind speed on risk assessment; if the risk assessment value Exceeding the preset threshold , a security alarm will be triggered.

5. A construction project progress management platform according to claim 1, characterized in that: The data acquisition module collects real-time data of the construction site in the following ways: using drone technology to regularly patrol and shoot panoramic images and high-definition videos of the construction site and capture details of construction progress, deploying video surveillance equipment at key nodes and analyzing video content through artificial intelligence image recognition technology, collecting environmental data through sensors, uploading data using wireless data transmission technology, and configuring data redundancy collection and verification mechanisms.

6. A construction project progress management platform according to claim 3, characterized in that: The anomaly detection unit dynamically analyzes the multi-source data collected in real time to detect construction progress delays and equipment failure anomalies, and triggers alarms in time so that managers can respond quickly. The anomaly detection unit dynamically evaluates the construction progress management according to the deviation index calculated by the evaluation model. If the first deviation index is If it exceeds 15% of the set threshold, a delay warning is triggered; The anomaly detection unit integrates the equipment sensor data and compares it with the normal operating parameters of the equipment to identify potential failure risks in real time.

7. A construction project progress management platform according to claim 1, characterized in that: The visualization unit has a map annotation function, displays key information of the construction site based on geographic information system technology, and can be dynamically updated. It can also generate a three-dimensional construction site model, support zooming, rotation and display of specific information in different layers, and help managers observe the construction progress.

8. A construction project progress management platform according to claim 1, characterized in that: The collaborative application module includes a multi-party collaboration unit and a report generation unit. The collaborative application module integrates data through cloud data sharing and authority management to achieve multi-party collaboration and information synchronization. The multi-party collaboration unit provides instant messaging function, and the report generation unit dynamically generates multi-granularity reports based on real-time data.

9. A construction project progress management platform according to claim 1, characterized in that: The data processing module is connected to the data acquisition module, the dynamic adjustment module is connected to the data processing module, and the collaborative application module is connected to the dynamic adjustment module.

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