KR102616121B1 - Construction method using a AGV Smart Lift and AI Image analysis - Google Patents

Abstract

The present invention relates to an OSC (Off-Site Construction) construction method using a smart lifting robot (AGV Smart Lift) and AI image analysis.
To elaborate, a smart lifting robot designed to transport members or modules used in construction unmanned and lift them in the installation space; A safety monitoring robot that can check and notify disasters occurring in the workplace (fire, embers, smoke, VOC, etc.) and check movement lines or processes for work; Smart lifting robot and AI, including an artificial intelligence-based camera device for video analysis that can perform on-site monitoring and safety predictive analysis (safety equipment, movement line deviation, dangerous area approach, accidents, etc.) This is about the OSC construction method using video analysis.

Description

OSC construction method using a smart lifting robot and AI image analysis {Construction method using a AGV Smart Lift and AI Image analysis}

The present invention relates to an OSC (Off-Site Construction) construction method using a smart lifting robot (AGV Smart Lift) and AI image analysis.

Specifically, it concerns construction methods that improve the safety and productivity of modular construction methods for semiconductor production facilities, special industrial plant (battery, large logistics warehouse, etc.) buildings, and general buildings.

To elaborate, a smart lifting robot designed to transport members or modules used in construction unmanned and lift them in the installation space; A safety monitoring robot that can check and notify disasters occurring in the workplace (fire, embers, smoke, VOC, etc.) and check movement lines or processes for work; Smart lifting robot and AI, including an artificial intelligence-based camera device for video analysis that can perform on-site monitoring and safety predictive analysis (safety equipment, movement line deviation, dangerous area approach, accidents, etc.) This is about the OSC construction method using video analysis.

In general, clean or super-clean conditions are used in semiconductor fabs, TFT-LCD fabs, PDP fabs, pharmaceutical or food manufacturing plants, or workshops and operating rooms that produce or assemble optical products, printing, or precision machinery. In places where it is required, fine or ultra-fine dust or mist has a significant impact on the quality of the product, so it is strictly blocked from the outside and the temperature and humidity are maintained within the specified range through constant temperature and humidity control. A clean room is provided to prevent vibration.

In addition, large-scale, high-purity, high-precision piping work applied to industrial plant buildings such as semiconductor fab, TFT-LCD fab, PDP fab, pharmaceutical manufacturing plant, and battery manufacturing plant, duct work for a clean environment in production facilities, and various electrical and control services. In addition to the high-cost lifting work used in the work, there is a high frequency of overlapping installation and penetration work of hangers and supports for each technology area work, as well as delays in collaboration and confusion in selecting wiring and piping routes. , due to problems such as overlapping labor, complicated workplaces, frequent safety accidents, risk of fire during welding, and difficulties in maintaining consistent quality control, efficient construction was difficult, and as a result, it was difficult to achieve effective construction period reduction. .

As related technologies, with respect to pipe racks, the pre-plumbed rack module and clean room construction method using the same (prior art 1) of Registered Patent Publication No. 10-1466590, the piping module and the piping module of Registered Patent Publication No. 10-1691489 The installation method (prior art 2), the piping-integrated module and the piping-integrated module installation method (prior art 3) of Publication Patent Publication No. 10-2017-0000278, and the prestressed precast concrete of Registered Patent Publication No. 10-1505579 The pipe rack structure or beam-column joint structure used and its construction method (Prior Art 4) are described.

However, as it is still difficult to overcome the above-mentioned problems, the present applicant has developed an auto wagon device of Patent Registration No. 10-1852773, a control method of the device, and a construction method using the device,

This is an auto wagon device that transports the utility unit modules to the construction site, aligns the utility module units in the longitudinal direction according to the construction, joins (joins) each unit, and then performs a lift operation all at once; It relates to a control method of the device and a construction method using the device.

In addition, the present applicant has developed an intelligent fire detection and extinguishing robot system in Registered Patent Publication No. 10-2358427.

This is about an intelligent fire detection and fire extinguishing robot system. It is an intelligent fire detection and fire extinguishing robot system to minimize damage by early detecting and quickly responding to fires in large and high-rise buildings where hazardous substances are concentrated, such as high-tech machine rooms, utility ducts, and waste facilities. It's about.

The present applicant would like to propose a construction method utilizing these technologies.

Registered Patent Publication No. 10-1466590 (announced on November 28, 2014) Registered Patent Publication No. 1901691489 (announced on December 30, 2016) Public Patent Publication No. 10-2017-0000278 (2017.01.02.) Registered Patent Publication No. 10-1505579 (announced on March 26, 2015) Registered Patent Publication No. 10-1852773 (announced on April 27, 2018) Registered Patent Publication No. 10-2358427 (announced on February 8, 2022)

The purpose of the present invention is to provide a smart lifting robot designed to transport members or modules used in construction unmanned and lift them in an installation space; A safety monitoring robot that can check and notify disasters occurring in the workplace (fire, embers, smoke, VOC, etc.) and check movement lines or processes for work; Smart lifting robot and AI, including an artificial intelligence-based camera device for video analysis that can perform on-site monitoring and safety predictive analysis (safety equipment, movement line deviation, dangerous area approach, accidents, etc.) The goal is to provide an OSC construction method using video analysis.

Developed to achieve the above-mentioned purpose, the OSC construction method using a smart lifting robot and AI image analysis according to the present invention is a smart device designed to transport work objects used in the field unmanned and lift them in the installation space. lifting robots; A safety surveillance robot that can check and report accidents occurring in the workplace and check the movement lines or processes for work; An artificial intelligence-based camera device for video analysis that can perform on-site monitoring and predictive analysis on safety; An OSC construction method using a smart lifting robot and AI image analysis, which is performed including a platform,

After acquiring spatial information in the field through the radar or camera provided in the safety surveillance robot, modeling conversion work is performed based on the acquired spatial information, and a pattern for the work movement of the smart lifting robot is generated,

After the safety monitoring robot creates a work plan that can monitor the smart lifting robot, the smart lifting robot transports the work objects such as construction members and modules,

Monitoring is performed through images acquired through the safety monitoring robot and camera device, and guidance is generated when an abnormal situation detected by the safety monitoring robot or an abnormal situation analyzed based on video information from the camera device occurs,

It is characterized in that the work is completed by determining whether the work is finished through the radar of the safety monitoring robot.

According to the OSC (Off-Site Construction) construction method using a smart lifting robot (AGV Smart Lift) and AI image analysis according to the present invention, members or modules used in construction can be transported unmanned and lifted in the installation space. A designed smart lifting robot; A safety monitoring robot that can check and notify disasters occurring in the workplace (fire, embers, smoke, VOC, etc.) and check movement lines or processes for work; Smart lifting robot and AI, including an artificial intelligence-based camera device for video analysis that can perform on-site monitoring and safety predictive analysis (safety equipment, movement line deviation, dangerous area approach, accidents, etc.) It has the advantage of providing an OSC construction method using video analysis.

Figure 1 is a flow chart showing the OSC construction method using a smart lifting robot and AI image analysis according to the present invention.
Figure 2 shows a structure for performing the OSC construction method using a smart lifting robot and AI image analysis according to the present invention.

Terms or words used in this specification and claims should not be construed as limited to their usual or dictionary meanings, and the inventor may appropriately define the concept of terms to explain his or her invention in the best way. It must be interpreted as meaning and concept consistent with the technical idea of the present invention based on principles.

Therefore, the embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention and do not represent the entire technical idea of the present invention, and various equivalents can be substituted for them at the time of filing the present application. It should be understood that there may be variations.

Hereinafter, before explaining with reference to the drawings, matters that are not necessary to reveal the gist of the present invention, that is, known configurations that can be easily added by a person skilled in the art, are not shown or described in detail. Let's keep it clear.

The present invention relates to an OSC (Off-Site Construction) construction method using a smart lifting robot (AGV Smart Lift) and AI image analysis.

To elaborate, a smart lifting robot designed to transport members or modules used in construction unmanned and lift them in the installation space; A safety monitoring robot that can check and notify disasters occurring in the workplace (fire, embers, smoke, VOC, etc.) and check movement lines or processes for work; Smart lifting robot and AI, including an artificial intelligence-based camera device for video analysis that can perform on-site monitoring and safety predictive analysis (safety equipment, movement line deviation, dangerous area approach, accidents, etc.) This is about the OSC construction method using video analysis.

Figure 1 is a flow chart showing the OSC construction method using a smart lifting robot and AI image analysis according to the present invention, and Figure 2 is a flow chart showing the OSC construction method using a smart lifting robot and AI image analysis according to the present invention. It shows the structure for.

The present invention according to the attached drawings includes a smart lifting robot designed to unmannedly transport members or modules used in construction and lift them in an installation space; A safety monitoring robot that can check and notify disasters occurring in the workplace (fire, embers, smoke, VOC, etc.) and check movement lines or processes for work; It includes an artificial intelligence-based camera device for video analysis that can perform on-site monitoring and predictive analysis of safety (safety equipment, movement line deviation, approach to dangerous areas, accidents, etc.), and according to one embodiment, these It may further include a platform for management.

In addition, the above-described smart lifting robot, safety monitoring robot, and camera device may use conventional ones or apply technology developed by the present applicant. As an example, the smart lifting robot can seat members or modules used in construction. It is sufficient if it is configured to move along a pre-determined route through autonomous driving, is configured to prevent collisions between adjacent objects, and is configured to be raised to the installation space through a lifting operation.

In addition, the safety monitoring robot includes sensors that can detect fire, hazardous substances (VOC, etc.) and smoke, and is configured to notify when measurements exceed a certain value are made. Likewise, the safety monitoring robot is equipped with an autonomous driving function to move around the site. You can also have it perform detection.

At this time, the structure of the site identified through autonomous driving can be mapped to establish a route for work in the field and secure information that can create an optimal route.

This could be delivered to the operator through the platform or a separate server and serve as basis data used to build the route.

In addition, by applying artificial intelligence-based analysis, the camera device can provide images to enable the operator to monitor the site, and can use image analysis technology (e.g., pixel analysis, or conventional technology that analyzes compared to comparative images). ), it is possible to perform the function of determining whether the worker is wearing safety equipment, determining whether the robot has deviated from its line of movement, approaching an inaccessible area or a dangerous area, the occurrence of an accident, or requesting rescue.

The OSC construction method using a smart lifting robot and AI image analysis, including a configuration functioning as described above, is shown in Figure 1 in the attached drawing.

First, spatial information within the site is acquired through the radar (or 360-degree wide-angle camera) provided in the safety surveillance robot. Afterwards, the acquired spatial information is converted into modeling through a BIM program, the work environment within the work space is checked manually, and a pattern for the work movement of the smart lifting robot is created using the platform.

Then, the operator connected to the platform creates a work plan for the safety monitoring robot to detect the smart lifting robot, and then performs the transfer work of construction members and modules through the smart lifting robot.

Afterwards, an operator connected to the platform performs monitoring through images acquired through the safety surveillance robot and camera device, and determines the occurrence of an accident on site through monitoring work or determines the occurrence of an accident in the field according to an abnormal situation detected by the safety surveillance robot. Provide guidance to the operator.

At this time, the above-mentioned abnormal situation may be directly judged by the operator, or is information detected or analyzed by a safety monitoring robot or camera device, and notifies the operator through the platform, which ranges from safety accidents to space. It may be an abnormal situation regarding the work environment due to my accident.

And the smart lifting robot performs the task of lifting and installing construction members and modules after arriving at the work point based on the pre-generated movement line and work pattern.

Meanwhile, the safety monitoring robot can judge the horizontality of construction members and modules that are the work target, or determine collision with other work objects. To this end, it includes a separate camera to determine horizontality and collision through video analysis. You can do it.

Using video analysis obtained from these cameras, it is possible to determine whether an accident has occurred or whether a worker is not wearing safety equipment. At this time, if the safety monitoring robot does not include a camera, the camera device described above may be used.

In addition, the safety surveillance robot can determine whether work has been completed through radar, and all information determined by the safety surveillance robot can be managed to be shared and stored through the platform.

At this time, the safety monitoring robot may perform a function of predicting in advance when determining whether a construction member or module will collide with another construction member or module. Meanwhile, other construction members and modules may be pre-installed or may be waiting for installation.

This uses the radar provided in the safety monitoring robot. When the safety monitoring robot monitors the installation of construction members and modules, it monitors the entire area of the construction members and modules in the direction with the longest length. This means that the platform receives and analyzes information obtained from the safety surveillance robot's radar, but when the platform switches to surveillance mode outside of the safety surveillance robot's preset movement path, the safety surveillance robot is continuously moved to remove construction members and modules being installed. While continuously detecting the size through radar, move the safety surveillance robot until it recognizes the construction member and module with the longest length.

Afterwards, when the length of the construction member or module is recognized as the longest, the movement of the safety monitoring robot is stopped, and work objects with variable lengths among other work objects (construction members and modules) around the construction member and module are identified through radar. judge.

If there is a variable length, this means that since the other work object is a fixture, the construction member and module that is the work object being installed covers part of the work object, and then the obscured part is gradually removed.

Therefore, if the length of another work object, which is a fixture, is determined to be variable continuously for a certain period of time (the total time the work object being installed is installed), there is a possibility that a collision may eventually occur, so the operation of the smart lifting robot is stopped and a notification is sent. can be performed.

If there is no collision, the work object being installed will not block the other work object that is a fixture, so the length variation of the other work object that is a fixture will stop in the middle.

The above description using the drawings describes only the main points of the present invention, and as various designs are possible within the technical scope, it is obvious that the present invention is not limited to the configuration of the drawings.

Claims (1)

A smart lifting robot designed to transport work objects used in the field unmanned and lift them in the installation space; A safety surveillance robot that can check and report accidents occurring in the workplace and check the movement lines or processes for work; An artificial intelligence-based camera device for video analysis that can perform on-site monitoring and predictive analysis on safety; As an OSC construction method using a smart lifting robot and AI image analysis, which is performed including a platform,
After acquiring spatial information in the field through the radar or camera provided in the safety surveillance robot, modeling conversion work is performed based on the acquired spatial information, and a pattern for the work movement of the smart lifting robot is generated,
After the safety monitoring robot creates a work plan that can monitor the smart lifting robot, the smart lifting robot transports the work objects such as construction members and modules,
Monitoring is performed through images acquired through the safety monitoring robot and camera device, and guidance is generated when an abnormal situation detected by the safety monitoring robot or an abnormal situation analyzed based on video information from the camera device occurs,
The work is completed by determining whether the work is finished through the radar of the safety monitoring robot.
When the safety monitoring robot monitors the installation of construction members and modules,
The platform receives and analyzes the information obtained from the safety surveillance robot's radar. The safety surveillance robot continuously moves by the platform and continuously detects the size of the construction members and modules being installed through the radar. Ensure that surveillance is carried out in the direction with the longest length over the entire area of
When the length of a construction member or module is recognized as the longest, the movement of the safety surveillance robot is stopped, and the length of other construction members and modules that are recognized adjacent to the construction member or module through radar and that are pre-installed or waiting for installation OSC construction method using a smart lifting robot and AI image analysis, characterized by determining whether there is a variable in the length and predicting collisions between heterogeneous construction members and modules when information on the length variable is obtained.