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KR-102961949-B1 - METAL STRUCTURE SURFACE TREATMENT SYSTEM USING AI-BASED MODULAR INTERCHANGEABLE DRONE AND ROBOT SYSTEMS

KR102961949B1KR 102961949 B1KR102961949 B1KR 102961949B1KR-102961949-B1

Abstract

A system according to one embodiment of the present disclosure comprises: a first terminal device used by a first user; and at least a first drone equipped with a laser blasting device, wherein the first terminal device: acquires first sensing data from at least one sensor mounted in a unit space where a first metal object is located; and identifies a surface treatment method of the first metal object based on the first sensing data and information related to the first metal object; and transmits information regarding the surface treatment method of the first metal object, the first sensing data, and information regarding the first metal object to the first drone, and the first drone may: treat the surface of the first metal object using at least one of the laser blasting device, the painting device, or the water jet device according to the surface treatment method of the first metal object and the information regarding the first metal object.

Inventors

  • 함연재

Dates

Publication Date
20260508
Application Date
20250903

Claims (5)

  1. A first terminal device used by the first user; At least a first drone equipped with laser blasting equipment; and It includes a second drone that assists the function of the first drone, and The above-mentioned first terminal device is: Acquiring first sensing data from at least one sensor mounted in a unit space where a first metal object is located; and Identifying a surface treatment method of the first metal object based on the first sensing data and information related to the first metal object; and Information regarding the surface treatment method of the first metal object, the first sensing data, and information regarding the first metal object are transmitted to the first drone, and The above-mentioned first drone is: According to the surface treatment method of the first metal object and information regarding the first metal object, the surface of the first metal object is treated using the laser blasting equipment, painting equipment, or water jet equipment, and While processing the surface of the first metal object, an image of the surface of the first metal object is obtained; Based on the identification that the surface treatment operation of the first metal object is completed through an image of the surface of the first metal object, a message indicating the completion of the operation is transmitted to the first terminal device; The above-mentioned first drone is: It includes a collection device for collecting dust generated while processing the surface of the first metal object, and The above-mentioned first terminal device is: Based on the fact that the laser output value of the laser blasting equipment of the first drone is less than a third threshold value, a signal requesting the first drone to stop operations and make an emergency landing is transmitted, and The above at least one sensor includes an image sensor, an oxidation level measuring sensor, a temperature sensor, and a humidity sensor, and The first sensing data includes an image of the first metal object, an oxidation value of the surface of the first metal object, and the temperature and humidity of the unit space, and The information related to the first metal object includes the type of the first metal object and the shape of the first metal object, and The above-mentioned first terminal device is: Obtaining a first numerical value indicating the degree of corrosion on the surface of the first metal object and a second numerical value indicating the depth of corrosion through the image of the first metal object and the oxidation value; Obtain an environmental correction coefficient based on the temperature and humidity of the above unit space; A comprehensive state indicator is obtained based on the above first value, the above second value, and the above environment correction coefficient, and Based on the above comprehensive status indicator, the surface treatment method of the first metal object is determined, and The above-mentioned second drone is: A system for transporting a cable connected to the laser blasting equipment and equipment associated with the first drone.
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Description

Metal Structure Surface Treatment System Using AI-Based Modular Interchangeable Drone and Robot Systems The present disclosure relates to a surface treatment technology for metal structures, and more specifically, to a surface treatment system for metal structures using an AI-based modular interchangeable drone and robot system. Large metal structures are widely used in various industrial sites, such as ships, bridges, steel towers, and storage tanks. Due to prolonged exposure to the external environment, problems such as corrosion, contaminant adhesion, and surface damage occur. To prevent these issues and ensure structural safety, surface treatment operations, including cleaning, polishing, and painting, must be performed periodically. However, these operations are performed for extended periods in high-altitude and confined spaces, posing a threat to worker safety due to the generation of dust and hazardous substances, and entailing significant burdens in terms of manpower, time, and cost. Existing surface treatment robots or drones are optimized for specific tasks, presenting a limitation in that they are difficult to flexibly execute various surface treatment processes. FIG. 1 is a simplified drawing illustrating a metal structure surface treatment system according to one embodiment of the present disclosure. FIG. 2 is a block diagram briefly illustrating the configuration of a first terminal device that performs a metal structure surface treatment operation according to one embodiment of the present disclosure. FIG. 3 is a flowchart for explaining a control method for a metal structure surface treatment system according to one embodiment of the present disclosure. The advantages and features of the present disclosure and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below but may be implemented in various different forms. These embodiments are provided merely to ensure that the disclosure is complete and to fully inform those skilled in the art of the scope of the present disclosure, and the present disclosure is defined only by the scope of the claims. The terms used herein are for describing the embodiments and are not intended to limit the disclosure. In this specification, the singular form includes the plural form unless specifically stated otherwise in the text. As used herein, "comprises" and/or "comprising" do not exclude the presence or addition of one or more other components in addition to the components mentioned. Throughout the specification, the same reference numerals refer to the same components, and "and/or" includes each of the mentioned components and all combinations of one or more thereof. Although terms such as "first," "second," etc., are used to describe various components, they are not limited by these terms. These terms are used merely to distinguish one component from another. Accordingly, the first component mentioned below may be the second component within the technical scope of this disclosure. Unless otherwise defined, all terms used herein (including technical and scientific terms) may be used in a meaning commonly understood by those skilled in the art to which this disclosure pertains. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise. Spatially relative terms such as "below," "beneath," "lower," "above," and "upper" may be used to easily describe the relationship between one component and another, as illustrated in the drawings. Spatially relative terms should be understood as encompassing the different directions of the components during use or operation, in addition to the directions depicted in the drawings. For example, if a component depicted in a drawing is inverted, a component described as being "below" or "beneath" another component may be placed "above" the other component. Therefore, the exemplary term "below" may encompass both the downward and upward directions. Components may also be oriented in other directions, and accordingly, spatially relative terms may be interpreted according to the orientation. In describing the present disclosure, an artificial intelligence model may be composed of a plurality of neural network layers. Each of the plurality of neural network layers has a plurality of weight values and performs neural network operations through operations between the results of operations of a previous layer and the plurality of weights. The plurality of weights possessed by the plurality of neural network layers may be optimized by the learning results of the artificial intelligence model. For example, the plurality of weights may be updated so that the loss value or cost value obtained from the artificial intelligence model during the learning process is reduc