On-site and virtual spaces are interconnected

Realization of the "digital twin"

Arayais aimed at an advanced future of construction where the real world and virtual space (simulator) are linked and integrated.
The simulator reflects on-site conditions and feeds back automatic control instructions based on analysis results from the simulator to the site, allowing heavy equipment and robots to operate automatically.
This contributes to the construction industry by improving productivity, reducing manpower, and enhancing safety.

Crane Truck Crane Simulator

BIM/CIM LINKED CRANE SIMULATOR

Enables crane planning studies in 3D using BIM/CIM data.
The system makes studies more efficient through collision determination, lifting capacity determination, and animated images of lifting and transporting.
It can be used not only for pre-construction planning studies, but also for plan reviews during construction, facilitating information sharing and fostering common understanding among the parties involved, thereby improving the efficiency and sophistication of construction work.

Flow of using the crane simulator

This simulator can be installed on the user's computer and used in the user's environment.
Users can input their BIM/CIM data and point cloud data, and use each function to perform planning studies on the Unity simulator.
As a result of the study, 3D movies (animations) and various information can be output.
*Please feel free to contact us for a detailed explanation and procedures.

Crane Simulator Demo Movie

Various conditions can be checked and paths can be studied on the simulator, including dynamic simulation.

Examples of Functions

  • Crane model with hoisting/swiveling/upsetting motion
  • Route Confirmation
  • Collision Confirmation
  • Automatic load rating calculation
  • Setting of no-entry areas
  • 3D VIDEO SIMULATION
  • Reflection of in-situ point cloud data

JFE ENGINEERING'S BIM/CIM LINKED CRANE SIMULATOR FROM ARAYAWAS INTRODUCED FOR PLANNING STUDIES AT A BRIDGE SITE.

Efforts to improve productivity in the construction industry are accelerating due to such factors as the enforcement of laws related to work style reform.
JFE Engineering Corporation has been one of the first in the industry to promote on-site reform through DX using ICT and advanced technologies.
In this context, the crane simulator provided by Araya, which can be linked to BIM/CIM, has been introduced to JFE Engineering for planning studies at its bridge sites.

Automate crane planning studies (patented)

We are developing a system that can optimize crane plans and propose plans using "BIM x simulator (Unity) x optimization algorithm".

Case Study] Construction Order Optimization of Parts

The optimization algorithm was used to construct a two-story building on the simulation (with a crane to transport the components).

Faster construction could be achieved by increasing the amount of computation (number of optimization cycles) in the optimization algorithm.

HYDRAULIC EXCAVATOR AI AUTOMATION Excavator Automation

HYDRAULIC EXCAVATOR AI AUTOMATION

The construction industry has long been in need of development of unmanned and automated technologies due to a growing shortage of workers, including the retirement of skilled technicians due to the aging of the workforce, as well as the danger of major accidents such as building collapses and mudslides occurring at work sites.
ArayaAt MHI, we are promoting the automation of hydraulic excavators using AI technology.
This will contribute to labor saving, efficiency, and safety improvement of work.

Reinforcement learning AI and imitation learning AI are used to help automate
excavator maneuvering

Reinforcement learning" involves the AI itself performing various actions in a simulated environment through trial and error, learning and acquiring better actions to achieve its goals.
Although it takes more time to learn, it has the potential to acquire more operations than humans.
In "imitation learning," the AI learns similar actions based on the model data of a human (skilled engineer).
In a relatively short time, it is possible to achieve the same level of movement as humans.

reinforcement learning

THE AI ACQUIRES THE MANEUVERING METHOD THROUGH TRIAL AND ERROR.

imitation learning

AI ACQUIRES THE METHOD OF MANEUVERING BY IMITATING HUMAN EXAMPLES.

Case Study Real-world
AI automation of hydraulic excavators in the real world

  • IN THE REAL WORLD, AI (OFFLINE REINFORCEMENT LEARNING) AUTOMATES THE ENTIRE PROCESS FROM EXCAVATION OF FILL TO LOADING ONTO DUMP TRUCKS!
  • What is off-line reinforcement learning?
  • Learning is possible without a simulator if there is a significant amount of actual operation data. No need to adjust the gap and no need to reflect the simulator results in the real world.
  • Autonomous AI (reinforcement learning) can autonomously learn superior action policies from actual operation data Remove inappropriate/skillful data from data
SLAM USING POINT CLOUD DATA STEAM LOCOMOTIVE

Utilizing point cloud data
SLAM (Self Location Awareness)

Using point cloud data acquired from LiDAR sensors, etc., it is possible to determine the self-position of robots and heavy equipment, as well as the surrounding environment.
This technology is especially useful indoors and in tunnels where GPS cannot reach.

SELF-POSITIONING BY SLAM

Using LiDAR and other technologies, the system supports autonomous operation of construction machinery/heavy equipment through spatial recognition (self-positioning, understanding of the site).

  • 3D LiDAR

    SELF-POSITIONING IS POSSIBLE EVEN IN ENVIRONMENTS WHERE GPS IS NOT AVAILABLE.

  • Stereo camera (Depth camera)

  • Automated operation of equipment for measurement with Nishimatsu Construction Co.
    Began automation of construction equipment in mountain tunnel construction

    Ltd. and Nishimatsu Construction Co., Ltd. have jointly realized the automated operation of the measuring device "Tunnel RemOS-Meas.
    This time, the automation technology of Arayawas incorporated into the measuring device, which is one of the systems for building remote and automated technology for various construction machines, in Nishimatsu's efforts to unmanned mountain tunneling face work.

Infrastructure and plant inspection Infrastructure Inspection

Infrastructure and plant inspection

In recent years, inspections have become increasingly important as various infrastructure structures have aged.
However, inspections by humans are time-consuming, labor-intensive, and sometimes dangerous, so there is a need to improve inspection efficiency and reduce manpower.
Arayais providing a solution that uses image recognition AI to detect rust, cracks, and other problems.

  • RUST/CORROSION DETECTION AI

    Rust and corrosion on bridges and steel towers are detected by image recognition AI.
    It is also possible to rank inspection results according to the degree and area of rusting.

  • CRACK DETECTION AI

    Cracks in concrete and other materials are detected by image recognition AI.
    Cracks as small as 0.2 mm could be detected.

airconditioner Air Conditioning Optimization

Air conditioning optimization solutions

Air conditioning is said to account for approximately 48% of a building's energy consumption.
ArayaAt Rinnai Systems, we provide AI air conditioning optimization solutions for district heating and cooling (DHC), large heat sources, and building central air conditioning, helping to reduce electricity consumption, electricity rates, and labor costs by automating tasks that were previously performed by skilled workers.

illustration Customer Testimonials

JFE ENGINEERING CORPORATION
JFE ENGINEERING CORPORATION

Crane part information can be assigned to any 3D model, such as slewing body, boom, and hook, greatly increasing the number of crane types that can be used as 3D dynamic models.
In addition, crane movements can be managed parametrically from bridge girder ground clearance to erection, making it easy to edit the crane movements as they change from time to time.

[Services Available]
BIM/CIM Linked Crane Simulator

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