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JP-7856957-B2 - Progress management system and progress management method

JP7856957B2JP 7856957 B2JP7856957 B2JP 7856957B2JP-7856957-B2

Inventors

  • 山内 三郎

Assignees

  • アースアイズ株式会社
  • Ｓａｂマネージメント有限会社

Dates

Publication Date
20260512
Application Date
20230131

Claims (11)

  1. A progress management system for construction sites, The photography department, A coordinate setting unit sets three-dimensional coordinates within the monitoring image generated by the aforementioned imaging unit to create a three-dimensional monitoring image, A building component recognition unit recognizes the three-dimensional construction position and construction amount of individual building components in the aforementioned three-dimensional monitoring image and generates 3D real-time construction status information. A BIM data storage unit that stores BIM data for progress management, A progress calculation unit for calculating the progress of construction work, The building component recognition unit comprises a machine learning type image recognition device having a multilayer neural network, and the multilayer neural network is a trained multilayer neural network that has been trained by deep learning by inputting image data of a finite number of building components predetermined as targets for progress management as training data. The BIM data includes information indicating the three-dimensional construction location and construction volume of each building component constituting the building at the completion stage of the building, The progress calculation unit calculates the progress of the construction work by comparing the 3D real-time construction status information generated by the building component recognition unit with the completed construction status information included in the BIM data. Progress management system.
  2. The aforementioned 3D surveillance image includes information on the date and time of capture. The building component recognition unit generates 3D real-time construction status information which further includes the shooting date and time information. The BIM data includes 4D construction status information, which is information indicating the 3D construction position and construction volume management standard values of each building component constituting the building at any point in time within the flow of work time from the start of construction work to the end of construction work. The progress calculation unit calculates the progress by comparing the 3D real-time construction status information with the 4D construction status information corresponding to the date and time related to the date and time information of the 3D real-time construction status information. The progress management system according to claim 1.
  3. If the three-dimensional construction position of the building component in the 3D real-time construction status information does not match the three-dimensional construction position of the building component in the completed construction status information, the system is equipped with an abnormality notification means for notifying of an abnormality in construction. The progress management system according to claim 1 or 2.
  4. The number of types of building materials to be set in advance as targets for progress management is 20 or less. The progress management system according to claim 1 or 2.
  5. The aforementioned imaging unit consists of a drone or a patrol robot equipped with an autonomous driving function, with a camera mounted on it. The progress management system according to claim 1 or 2.
  6. A progress management device for construction sites, A coordinate setting unit that sets 3D coordinates within a construction site monitoring image to create a 3D monitoring image, A building component recognition unit recognizes the three-dimensional construction position and construction amount of individual building components in the aforementioned three-dimensional monitoring image and generates 3D real-time construction status information. A BIM data storage unit that stores BIM data for progress management, A progress calculation unit for calculating the progress of construction work, The building component recognition unit comprises a machine learning type image recognition device having a multilayer neural network, and the multilayer neural network is a trained multilayer neural network that has been trained by deep learning by inputting image data of a finite number of building components predetermined as targets for progress management as training data. The BIM data includes information indicating the three-dimensional construction location and construction volume of each building component constituting the building at the completion stage of the building, The progress calculation unit calculates the progress of the construction work by comparing the 3D real-time construction status information generated by the building component recognition unit with the completed construction status information included in the BIM data. Progress management device.
  7. A construction site progress management method using BIM data, The BIM data includes information indicating the three-dimensional construction location and construction volume of individual building components constituting the building at the completion stage of the building, The camera unit performs a monitoring and photography step to obtain monitoring images by photographing the aforementioned building, which is subject to progress management, The coordinate setting unit performs a coordinate setting step of generating a three-dimensional monitoring image relating to the building from the monitoring image, A construction confirmation step involves a building component recognition unit recognizing the 3D construction position and construction amount of each building component in the 3D monitoring image and generating 3D real-time construction status information. The progress calculation unit includes a progress confirmation step in which it calculates the progress of the construction work by comparing the 3D real-time construction status information with the completed construction status information. The aforementioned building component recognition unit comprises a machine learning type image recognition device having a multilayer neural network, and the multilayer neural network is a trained multilayer neural network that has been trained by deep learning using image data of a finite number of building components predetermined as targets for progress management as training data. Progress management methods.
  8. The BIM data includes 4D construction status information, which is information indicating the 3D construction position and construction volume management standard values of each building component constituting the building at any point in time within the flow of work time from the start of construction work to the end of construction work. In the aforementioned surveillance and photography step, a three-dimensional surveillance image containing the date and time of photography information is generated. In the aforementioned construction confirmation step, the 3D real-time construction status information is generated, which further includes the shooting date and time information. In the progress confirmation step, the progress is calculated by comparing the 3D real-time construction status information with the 4D construction status information corresponding to the date and time of the shooting date and time information contained in the 3D real-time construction status information. The progress management method according to claim 7.
  9. If the three-dimensional construction position of the building component in the 3D real-time construction status information generated in the construction confirmation step does not match the three-dimensional construction position of the building component in the completed construction status information, the progress confirmation step is not performed, and an abnormality notification step is performed to notify of the construction abnormality. The progress management method according to claim 7 or 8.
  10. The number of types of building materials to be set in advance as targets for progress management is 20 or less. The progress management method according to claim 7 or 8.
  11. In the progress management method according to claim 7 or 8, the monitoring and photography step, the coordinate setting step, the construction confirmation step, and the progress confirmation step are performed. A program for a progress management system.

Description

This invention relates to a progress management system and a progress management method for managing the progress of construction work on a building. More specifically, this invention relates to a progress management system and a progress management method that can accurately grasp the progress of construction in real time from surveillance images captured by general-purpose surveillance cameras or the like at a construction site. Traditionally, 3D models for building designs were created by first creating 2D design drawings and then building a 3D model based on those 2D drawings. In contrast, "BIM (Building Information Modeling)" is a method that creates 3D design drawings from the outset and incorporates 3D shape and position information (color, shape, size, and position in 3D space, etc.) and attribute information (whether it is a wall, a column, etc.) into the 3D model (hereinafter, these will be collectively referred to as "BIM information"). Furthermore, with "BIM," it is possible to output "BIM information" for each stage of construction by adding time axis information to the above 3D model to create a 4D model. According to this type of "BIM," it's possible to use 3D-CG images in design presentations, and to output images of unseen piping inside walls or components to be installed in the next stage during the construction phase (see the Japan Construction Information Center website (https://www.jcitc.or.jp/bimcim/bim/)). At construction sites, to manage the progress of work against the pre-planned work schedule, supervisors and other personnel track the daily progress of the work by recording it in work logs or inputting it into information processing devices such as computers. As a design data management device for managing such work progress, a management device has been proposed that, for example, uses a scanner to perform a laser scan to acquire three-dimensional data of the work area, and then identifies the difference between the three-dimensional model of the construction site at the time of the laser scan and the three-dimensional model based on the design data updated the previous day, thereby allowing for visual determination of work progress (see Patent Document 1). However, the design data management device disclosed in Patent Document 1 requires a procedure to set the scan range by identifying the areas where work was scheduled for that day using construction management data. Furthermore, while a laser scanner can grasp the three-dimensional shape of the object being scanned, it cannot recognize other physical properties or attributes of the object. Therefore, setting the scan range and installing the laser scanner must be done by a worker each time a scan is performed. Consequently, it is clear that the degree to which the workload of progress management personnel is reduced is limited. In response to this, a construction management system has been proposed that uses "BIM" to manage the progress of construction sites. This system includes a differential data calculation means that calculates differential data including the difference between the day's progress data and the design data, and the difference between the day's and the previous day's progress data; a 3D model data creation means that creates 3D model data based on the calculated differential data; and a video display means that visualizes and displays the created data (see Patent Document 2). According to the construction management system disclosed in Patent Document 2, unlike the design data management device disclosed in Patent Document 1, the installation of a laser scanner and the setting of the scan range are unnecessary, and it is stated that "work content can be determined" from images that can be captured by a general-purpose surveillance camera, etc. Patent Document 2 states that "by identifying the work content, 'progress data' such as work content, work status, and the number of workers can be calculated," and also mentions that "work content can be identified using deep learning technology." However, it does not disclose any specific means for automatically and accurately determining the progress of construction against a predetermined work schedule (for example, an objective numerical value indicating the percentage of reinforcing bars that have been correctly installed at the time of the planned completion date of foundation work; hereinafter, such a numerical value will be referred to as "quantitative construction progress") in real time from images that can be captured by general surveillance cameras, etc. In construction site progress management, various methods have been attempted, including the method disclosed in Patent Document 2, to utilize images captured by general-purpose surveillance cameras for progress management. However, to date, none of these attempts have achieved the ability to automatically grasp the aforementioned "quantitative construction progress" in real time with high accuracy. There