KR-20260067058-A - System and method for providing process rate and cost of building materials by using AI monitoring of building materials in construction site

KR20260067058AKR 20260067058 AKR20260067058 AKR 20260067058AKR-20260067058-A

Abstract

The present invention relates to a system and method for calculating and providing the progress rate of a construction site and the cost of materials brought in, based on monitoring of materials brought into a construction site using artificial intelligence (AI). The system of the present invention comprises: a first camera that photographs materials on a vehicle to acquire a material image; a weight measuring unit that measures the weight of the vehicle; and a server that extracts the type of the material from the material image and extracts the weight of the material from the weight of the vehicle, and calculates at least one of the progress rate and the cost of the material based on the extracted type and weight of the material.

Inventors

박관수
박병규
박시은

Assignees

박관수
박병규
박시은

Dates

Publication Date: 20260512
Application Date: 20241105

Claims (12)

A first camera that photographs the vehicle's materials to acquire an image of the materials; A weighing unit for measuring the weight of the above vehicle; and A system comprising a server that extracts the type of material from the material image and extracts the weight of the material from the weight of the vehicle, and calculates at least one of the process rate and the cost of the material based on the extracted type and weight of the material.
In claim 1, A system in which the first camera is installed at the entrance of a construction site and photographs the material while the material is loaded onto a vehicle arriving at the entrance to acquire an image of the material.
In claim 1, The above-mentioned weight measuring unit is a system for measuring the weight of the vehicle with the above-mentioned material to be brought into the construction site loaded on the vehicle.
In claim 3, The above server is a system that calculates the self-weight of the material by subtracting the self-weight of the vehicle from the measured weight of the vehicle.
In claim 1, The above server is a system that pre-stores the cost per unit weight for each type of material and calculates the cost of the material by multiplying the weight of the extracted material by the cost per unit weight for each type of material according to the type of extracted material.
In claim 1, The above server is a system that stores process rates according to the type and weight of materials in advance and calculates process rates according to the type and weight of extracted materials based on the stored process rates.
In claim 1, A system further comprising a second camera that photographs a license plate attached to the vehicle to obtain a license plate image.
In claim 7, The above server is a system that extracts a vehicle number from the vehicle number image and stores the vehicle number by mapping the type and weight of the extracted material.
In claim 8, The above server is a system that extracts driver information of the vehicle from the extracted vehicle number and stores the driver information, the vehicle number, and the type and weight of the extracted material by mapping them.
A step of obtaining a material image by photographing the vehicle's material with a first camera; A step of measuring the weight of the vehicle loaded with the above material at a weight measuring unit; A step of extracting the type of material from the material image on the server; A step of extracting the weight of the material from the weight of the vehicle on the server above; A method comprising the step of calculating at least one of a process rate and the cost of the material based on the type and weight of the material extracted from the above server.
In claim 11, A method for the above server to calculate the self-weight of the material by subtracting the self-weight of the vehicle from the measured weight of the vehicle.
In claim 11, A method in which the above server stores the cost per unit weight for each type of the above material in advance and calculates the cost of the above material by multiplying the weight of the above material by the cost per unit weight for each type of the above material according to the type of the above material.

Description

System and method for providing process rate and cost of building materials by using AI monitoring of building materials in construction site The present invention relates to a system and method for calculating and providing the progress rate of a construction site and the cost of materials brought in, based on monitoring of materials brought into a construction site through artificial intelligence (AI). Construction sites become more complex due to the deployment of a large workforce and equipment, as well as the delivery of materials by vehicle. Typical materials include rebar, sand, gravel, and concrete. As construction sites become larger and more complex, information on materials brought into the site, as well as the personnel and equipment deployed, must be managed for efficient construction. The biggest issue at conventional construction sites is that the actual amount of materials delivered is less than the ordered amount due to theft, omission, manipulation, and intentional loss. As such, if the actual amount of materials delivered is insufficient, there is a concern about substandard construction, which ultimately leads to a problem where additional materials are required. The input of additional materials is the primary culprit behind increased construction costs, and the larger the scale of the construction site, the greater the increase in costs. Therefore, it is necessary to verify whether the exact quantity of materials is being delivered to the construction site and to determine the actual cost of the materials brought in. Registered Patent No. 10-2672168 discloses a method and system for automatically calculating construction material quantities at a construction site using machine learning and 3D scanning, and Registered Patent No. 10-2482484 discloses an apparatus and method for calculating the cost of construction materials. However, including the aforementioned prior patents, conventional methods could not accurately calculate the actual construction volume and costs of materials brought in due to theft, omission, or intentional loss of materials. In addition, managing the progress rate based on the advancement of construction work is crucial at construction sites. This is a very important management item because the progress rate—representing the rate of work completion—has a significant impact on the overall completion schedule of the construction site. Traditionally, progress rate management is inaccurate because managers manually create reports based on intuition or experience after verifying the actual progress of construction work against design data. Published Patent No. 10-2023-0091419 discloses a method and system for predicting the progress rate of a construction site based on artificial intelligence. However, the aforementioned disclosed patent predicts the progress rate of a construction site in advance using progress rate-related data and the increase in actual progress rates, but it does not accurately reflect the actual progress rate of construction being carried out at the site. FIG. 1 is a block diagram showing the configuration of a system for providing process rate and material cost through AI monitoring of construction site materials according to an embodiment of the present invention. FIG. 2 is a construction site layout diagram of a system for providing process rate and material cost through AI monitoring of construction site materials according to an embodiment of the present invention. FIG. 2 is a layout diagram of each component of a system for providing process rate and material cost through AI monitoring of construction site materials according to an embodiment of the present invention. FIG. 3 is a configuration diagram of a server according to an embodiment of the present invention. FIG. 4 is an example diagram showing information calculated by a server according to an embodiment of the present invention. FIG. 5 is a diagram showing the process rate according to the introduction of materials according to an embodiment of the present invention. FIG. 6 is a drawing showing information regarding the introduction of materials according to an embodiment of the present invention. FIG. 7 is a flowchart illustrating a method for providing process rate and material cost through AI monitoring of construction site materials according to an embodiment of the present invention. Hereinafter, embodiments of the present invention will be described in detail with reference to exemplary drawings. It should be noted that in assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. In addition, when describing the embodiments of the present invention, if it is determined that a detailed description of related known configurations or functions would hinder understanding of the embodiments of the present invention, such detailed description is omitted. FI