Project progress management system for constructional engineering

Abstract

The invention discloses a project progress management system for constructional engineering. The project progress management system comprises a monitoring and recording system for acquiring construction progresses of different types of work, employee attendance and construction activity conditions and material consumption; the processing prediction system generates a building construction progress 3D model, compares the building construction progress 3D model with an expected calibrated construction progress 3D model, and predicts the subsequent construction progress based on the prediction model; the announcement prompting system visually displays the output result of the processing and predicting system, notifies a principal and a constructor which have favorable and adverse effects on the construction progress, and sends the information to the principal; according to the invention, monitoring of the construction site and systematic management can be realized, the construction progress can be known in real time, the model is updated through the established 3D building model in combination with the construction site image, the construction progress of each day can be seen more visually, and the management efficiency and accuracy of the construction quality of the building project are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building construction management, and in particular to a project progress management system for building engineering. Background Art

[0002] Project schedule control refers to the preparation and implementation of plans for the work content, work procedures, duration and connection relationships of each stage of project construction based on the overall progress goals and the principle of optimal resource allocation. Then, during the implementation of the schedule plan, regular checks are made to see whether the actual progress is proceeding as planned, any deviations that occur are analyzed, and remedial measures are taken or the original plan is adjusted before implementation. Schedule management of construction projects is crucial to ensuring that projects are completed on time, controlling costs and improving project quality.

[0003] Traditional construction project progress management often relies on manual records and reports. This method may have problems such as low efficiency and untimely information updating. At the same time, manual records and reports may be falsified, which seriously affects the progress management of construction and the quality risk of construction. In recent years, the application of information technology in construction project management has gradually increased, such as BIM (Building Information Modeling) technology, cloud computing, big data, etc., but the integrated application of these technologies still faces challenges. Therefore, the present invention proposes a project progress management system for construction projects to solve the problems existing in the prior art. Summary of the invention

[0004] In view of the above problems, the purpose of the present invention is to propose a project progress management system for construction projects, which can realize the monitoring of the construction site and carry out systematic management, so as to facilitate the real-time understanding of the construction progress. At the same time, through image processing and judgment, deviations and abnormalities can be discovered and handled in time, so as to improve the efficiency and accuracy of project construction management; by establishing a 3D building model and updating the model in combination with the construction site image, the daily construction progress can be seen more intuitively, and at the same time, the construction departments that perform well beyond the expected progress will be rewarded, and the construction plans of the construction departments that fail to meet the expected progress will be rectified in time, so as to further improve the management of the construction quality of the construction project.

[0005] To achieve the purpose of the present invention, the present invention is implemented through the following technical solutions: a project progress management system for construction engineering, including a monitoring and recording system, a processing and prediction system, and an announcement and prompting system, wherein the monitoring and recording system obtains the construction progress of different types of work, employee attendance, construction activities, and material consumption based on multiple groups of monitoring cameras and gate sensors set up at the construction site;

[0006] The processing prediction system generates a 3D model of the construction progress by building a 3D model of the entire building and combining the images and data obtained on site, and then compares and judges it with the expected calibrated construction progress 3D model. At the same time, based on the prediction model, it predicts the subsequent construction progress according to the construction progress of the day;

[0007] The announcement reminder system is used to visually display the output results of the processing prediction system and notify the person in charge and construction personnel who have favorable and unfavorable effects on the construction progress, and then send the construction progress results and the processing result information of the corresponding personnel to the person in charge.

[0008] A further improvement is that the monitoring and recording system includes a construction site monitoring module, a construction site entry and exit monitoring module and a construction consumables monitoring module. The construction site monitoring module is used to monitor the construction site and acquire images, the construction site entry and exit monitoring module is used to monitor and record the workers and vehicles entering and exiting the construction site, and the construction consumables monitoring module is used to monitor and record the use of construction consumables during construction and supplement image data.

[0009] Further improvements are: the processing and prediction system includes a model building module, an upload processing module and a data caching module. The model building module is used to build a building 3D model and a prediction model on a cloud computing processing platform and update the model. The upload processing module is used to complete the upload of the acquired data to the cloud computing processing platform for image processing analysis and data processing analysis and extract construction progress related data. The data caching module is used to cloud cache the acquired data and processed data according to time.

[0010] Further improvements are: the model building module includes a building model building submodule, a prediction model building submodule and a model updating submodule, the building model building submodule builds a 3D model of the entire building based on 3D modeling software and divides the expected calibration of the daily construction progress according to the specified construction period, the prediction model building submodule builds a prediction model based on a machine learning algorithm and trains it based on historical data, and the model updating submodule updates the building 3D model based on the processed construction progress related data and uses the construction progress related data as input to the prediction model.

[0011] Further improvements are: the upload processing module includes a data receiving and sending submodule, an image processing submodule, a data extraction submodule and an analysis and judgment submodule, the data receiving and sending submodule is used for receiving and sending various data information between the construction site and the cloud computing processing platform, the image processing submodule is used for denoising and feature enhancement processing of the image acquired by the monitoring camera, the data extraction submodule is used for screening and extracting features in the processed image and other uploaded data to obtain construction progress related data, and the analysis and judgment submodule judges the construction progress based on the extracted features and data and compares it with the expected calibration progress to output the progress gap.

[0012] A further improvement is that the data cache module includes a receiving cache module and an output cache module, and the receiving cache module and the output cache module both classify and cache the data received and output by the cloud computing processing platform based on the data upload and output time.

[0013] A further improvement is that the processing prediction system also includes a risk analysis module, which analyzes and warns of risky construction behaviors and material and equipment placement patterns on site based on the construction site data obtained by the monitoring and recording system.

[0014] Further improvements are: the announcement reminder system includes an on-site public announcement module, a reminder notification module and an information forwarding module. The on-site formula module intuitively displays the construction progress and subsequent construction progress arrangements and notification personnel data sent back by the cloud computing processing platform based on the LED display screen. The reminder notification module is used to report, praise or criticize employees who affect the construction progress, and at the same time report and remind unexpected conditions at the construction site. The information forwarding module forwards the output data of the cloud computing processing platform to the communication equipment of the person in charge of the construction based on wireless signal transmission technology.

[0015] The beneficial effects of the present invention are as follows: the present invention can realize the monitoring of the construction site and carry out systematic management, so as to facilitate the real-time understanding of the construction progress. At the same time, through image processing and judgment, deviation anomalies can be discovered and handled in time, thereby improving the efficiency and accuracy of project construction management;

[0016] By establishing a 3D building model and updating the model in combination with construction site images, the daily construction progress can be seen more intuitively. At the same time, the construction departments that exceed the expected progress can be rewarded, and the construction plans of the construction departments that fail to meet the expected progress can be corrected in time, further improving the management of the construction quality of the construction projects, which has important market application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0018] In order to deepen the understanding of the present invention, the present invention will be further described in detail below in conjunction with examples. The examples are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0019] according to Figure 1 As shown, this embodiment provides a project progress management system for construction engineering, including a monitoring and recording system, a processing and prediction system, and an announcement and prompting system.

[0020] Monitoring and recording system: It uses multiple sets of monitoring cameras and gate sensors set up at the construction site to obtain the construction progress of different types of work, employee attendance, construction activities and material consumption;

[0021] It includes a construction site monitoring module, a site entry and exit monitoring module and a building consumables monitoring module. The construction site monitoring module is used to monitor the construction site of the construction site and obtain images. It supervises the workers' behavior while monitoring the construction site to avoid mistakes that may cause safety problems. The site entry and exit monitoring module is used to monitor and record the workers and vehicles entering and exiting the construction site. Vehicles entering and exiting the site are identified and registered by monitoring cameras, and the vehicles are weighed and recorded by the scale. The building consumables monitoring module is used to monitor and record the use of building consumables during construction and supplement image data. It is also monitored and identified by monitoring cameras, and the usage of consumables is monitored through weight sensors.

[0022] Processing prediction system: By establishing an overall 3D model of the building and combining the images and data obtained on site, a 3D model of the construction progress is calculated and generated. The 3D model is established based on Sketchup software. The construction progress data of the construction site is extracted through images and data to fill the completed parts in the established 3D model to display the progress 3D model. Then, it is compared with the expected calibrated construction progress 3D model to determine whether the progress is completed to the standard. At the same time, based on the prediction model, the subsequent construction progress is predicted according to the construction progress of the day. If the construction progress of the day does not meet the standard or exceeds the expected progress, the subsequent construction progress is adjusted in real time according to the construction efficiency of the day;

[0023] It includes a model building module, an upload processing module and a data cache module. The model building module is used to build a building 3D model and a prediction model on a cloud computing processing platform and update the model. The established model training is based on historical data for training and verification. The upload processing module is used to complete the upload of the acquired data to the cloud computing processing platform for image processing analysis and data processing analysis and extract construction progress related data. The construction progress related data specifically includes the daily construction accumulation and material consumption of each project. The construction accumulation is composed of data such as the size of the newly built part of the construction site extracted from the image. The data cache module is used to cloud cache the acquired data and the processed data according to time. This storage method can reduce the equipment storage capacity and calculation speed on the construction site;

[0024] It also includes a risk analysis module, which analyzes and warns of risky construction behaviors and material and equipment placement patterns on site based on the construction site data obtained by the monitoring and recording system.

[0025] Model building module: including building model building submodule, prediction model building submodule and model updating submodule;

[0026] The building model establishment submodule establishes a 3D model of the entire building based on the 3D modeling software SketchUp and divides the expected calibration of the daily construction progress according to the specified construction period. The prediction model establishment submodule establishes a prediction model based on the machine learning algorithm and trains it based on historical data. The model update submodule updates the building 3D model based on the processed construction progress-related data and uses the construction progress-related data as the input of the prediction model. After the construction progress-related data is imported into the building 3D model, the corresponding construction part is automatically filled in to obtain the single-day construction completion progress.

[0027] Upload processing module: including data receiving and sending submodule, image processing submodule, data extraction submodule and analysis and judgment submodule;

[0028] The data receiving and sending submodule is used for receiving and sending various data information between the construction site and the cloud computing processing platform, that is, the data exchange between the construction site and the cloud computing processing platform. The image processing submodule is used to denoise and enhance the features of the images obtained by the monitoring camera. The weighted least squares filtering method is used for denoising, and the adaptive histogram equalization method is used for image feature enhancement. The data extraction submodule is used to screen and extract the features in the processed image and other uploaded data to obtain construction progress related data. The HOG feature extraction algorithm is used for image feature extraction. The analysis and judgment submodule judges the construction progress based on the extracted features and data and compares it with the expected calibration progress to output the progress gap. The output results include lower than the calibration progress, the same as the calibration progress, and higher than the calibration progress.

[0029] Data cache module: includes a receiving cache module and an output cache module. Both the receiving cache module and the output cache module classify and cache the data received and output by the cloud computing processing platform based on the data upload and output time.

[0030] Announcement reminder system: used to visually display the output results of the processing prediction system and notify the person in charge and construction personnel who have favorable and unfavorable effects on the construction progress. The notification procedure is executed by the person in charge, including criticism and rewards. At the same time, the construction operations of the workers who have adverse effects are corrected, and the construction progress results and the processing result information of the corresponding personnel are sent to the person in charge, so that the person in charge can view and understand the construction progress in real time;

[0031] It includes an on-site public announcement module, a prompt notification module and an information forwarding module. The on-site formula module uses an LED display to visually display the construction progress and subsequent construction progress arrangements and notification personnel data sent back by the cloud computing processing platform. The prompt notification module is used to report, praise or criticize employees who affect the construction progress, and at the same time report and remind unexpected conditions on the construction site. It is achieved by multiple sets of loudspeakers. The information forwarding module forwards the output data of the cloud computing processing platform to the communication equipment of the person in charge of the construction based on wireless signal transmission technology, so that the person in charge can check and understand the construction progress in real time.

[0032] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A project progress management system for construction projects, Features: It includes a monitoring and recording system, a processing prediction system and an announcement and prompting system. The monitoring and recording system obtains the construction progress of different types of work, employee attendance, construction activities and material consumption based on multiple sets of monitoring cameras and gate sensors set up at the construction site; The processing prediction system generates a 3D model of the construction progress by building a 3D model of the entire building and combining the images and data obtained on site, and then compares and judges it with the expected calibrated construction progress 3D model. At the same time, based on the prediction model, it predicts the subsequent construction progress according to the construction progress of the day; The announcement reminder system is used to visually display the output results of the processing prediction system and notify the person in charge and construction personnel who have favorable and unfavorable effects on the construction progress, and then send the construction progress results and the processing result information of the corresponding personnel to the person in charge.

2. A project progress management system for construction engineering according to claim 1, Features: The monitoring and recording system includes a construction site monitoring module, a construction site entry and exit monitoring module and a building consumables monitoring module. The construction site monitoring module is used to monitor the construction site and acquire images, the construction site entry and exit monitoring module is used to monitor and record the workers and vehicles entering and exiting the construction site, and the building consumables monitoring module is used to monitor and record the use of building consumables during construction and supplement image data.

3. A project progress management system for construction engineering according to claim 1, Features: The processing and prediction system includes a model building module, an upload processing module and a data caching module. The model building module is used to build a building 3D model and a prediction model on a cloud computing processing platform and update the model. The upload processing module is used to upload the acquired data to the cloud computing processing platform for image processing analysis and data processing analysis and extract construction progress related data. The data caching module is used to cloud cache the acquired data and processed data according to time.

4. A project progress management system for construction engineering according to claim 3, Features: The model building module includes a building model building submodule, a prediction model building submodule and a model updating submodule. The building model building submodule builds a 3D model of the entire building based on 3D modeling software and divides the expected calibration of the daily construction progress according to the specified construction period. The prediction model building submodule builds a prediction model based on a machine learning algorithm and trains it based on historical data. The model updating submodule updates the building 3D model based on the processed construction progress related data and uses the construction progress related data as the input of the prediction model.

5. A project progress management system for construction engineering according to claim 3, Features: The upload processing module includes a data receiving and sending submodule, an image processing submodule, a data extraction submodule and an analysis and judgment submodule. The data receiving and sending submodule is used for receiving and sending various data information between the construction site and the cloud computing processing platform. The image processing submodule is used for denoising and feature enhancement processing of images acquired by the monitoring camera. The data extraction submodule is used for screening and extracting features in the processed image and other uploaded data to obtain construction progress related data. The analysis and judgment submodule judges the construction progress based on the extracted features and data and compares it with the expected calibration progress to output the progress gap.

6. A project progress management system for construction engineering according to claim 3, Features: The data cache module includes a receiving cache module and an output cache module. Both the receiving cache module and the output cache module classify and cache the data received and output by the cloud computing processing platform based on the data upload and output time.

7. A project progress management system for construction engineering according to claim 3, Features: The processing prediction system also includes a risk analysis module, which analyzes and warns of risky construction behaviors and material and tool placement patterns on site based on the construction site data acquired by the monitoring and recording system.

8. A project progress management system for construction engineering according to claim 1, Features: The announcement reminder system includes an on-site public announcement module, a reminder notification module and an information forwarding module. The on-site formula module intuitively displays the construction progress and subsequent construction progress arrangements and notification personnel data transmitted back by the cloud computing processing platform based on an LED display screen. The reminder notification module is used to report, praise or criticize employees who affect the construction progress, and at the same time report and remind unexpected conditions at the construction site. The information forwarding module forwards the output data of the cloud computing processing platform to the communication equipment of the person in charge of the construction based on wireless signal transmission technology.

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