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An article about our company was published on Toyo Keizai Online.
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Summary of Consolidated Financial Results for the Nine Months Ended December 31, 2022(Based on Japanese GAAP)
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Financial Results Supplementary Material For the Nine Months Ended December31, 2023
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Notice Regarding Establishment of Special Committee
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Re: The Yamauchi-No. 10 Family Office February 16, 2023 Press Release Regarding the Company’s Special Committee
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Notification Regarding Letters Sent to Yamauchi-No. 10 Family Office etc.
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Regarding the Yamauchi-No. 10 Family Office Press Releases of March 1 and 2, 2023
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Summary of Consolidated Financial Results for the Six Months Ended September 30, 2022 (Based on Japanese GAAP)
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Financial Results Supplementary Material For the Six Months Ended September30, 2023
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Development of “Marine Work Digital Twin System”
Toyo Construction Co., Ltd. (President and Representative Director: Kyoji Takezawa) has developed
the “Marine Work Digital Twin System*1” that reflects and displays information such as work
vessel location, stone material acceptance information and weather information, on the BIM/CIM model
in a virtual space in real time.
This system is a system that provides a unitary display of the real-time data collected at the site on the
BIM/CIM model, as well as enables the collaboration with ICT tools. Now, we conducted a trial operation
at the “Embankment & construction foundation work for new sediment disposal facility in Nagoya port”
ordered by Chubu Regional Development Bureau, MLIT, and put it into a practical use.
Screenshot of the digital twin system
Offshore marine works are generally conducted in a vast sea area near the port, which means that
there is no place for overviewing the allocation of work vessels. For this reason, the integrated
management is usually conducted by human observation, in which each operator takes each vessel
and uses phones, radio contact and several ICT systems. This system is easy to understand and use
intuitively due to the reproducibility of marine work status in a virtual space and the integrated display
of information in real time, which allows the proper construction management. We are planning to expand
the function according to the information obtained from various ICT systems.
Also, for an quantity acceptance work conducted prior to the stone material throw-in by a sand carrier
with grab bucket*2, it was necessary to take pictures and conduct calculations using measurement rods
and surveying poles by several people, therefore, there was a challenge that it took a lot of care and
time before the reflection of data. This system displays on the digital twin system the acceptance data
uploaded to the cloud from the “Measuring sand carrier with grab bucket (M.SOFT Co., Ltd.)”, an automatic
volume computation application applied with AR imaging technology, and also automatically outputs the data
to the administration table. This has saved the labor for data input operation, and also by the data sharing
through the cloud, it has become possible to manage the data in real time by the BIM/CIM in distant places
such as sites or branch offices.
Acceptance of stone material by the “Measuring sand carrier with grab bucket”
Overview of the Marine Work Digital Twin System
The Company has expanded the construction simulation technology of the BIM/CIM for the meticulous
construction plan formation (Toyo Virtual Construction) and the ICT technology for productivity
improvement at construction sites. Similarly, in the “Marine Work Digital Twin System”, the work saving
of construction management has been realized by intetrating the BIM/CIM with the ICT technology.
The Company will continuously make efforts to promote the comprehensive DX, from the construction
planning to construction site management, and will improve our construction technologies and productivity.
Digital twin*1: a technology to reproduce on the virtual space the data collected from the real space
Sand carrier with grab bucket*2: a work vessel to transport and throw in stone material, etc.
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Implementation of demonstration experiment to utilize an autonomous drone for streamlining progress management at construction site as a work for MLIT’s FY 2022 Model project for building production and operation & maintenance process facilitation by utilizing BIM (leading entrepreneur type)
Toyo Construction Co., Ltd. (Head office: Chiyoda city, Tokyo Metropolis, President and
Representative Director: Kyoji Takezawa) has implemented a demonstration experiment to
utilize an autonomous drone for the remote supervision method of works (streamlining of
progress management), in collaboration with SENSYN ROBOTICS, Inc. (Head office: Shibuya city,
Tokyo Metropolis, CEO: Takuya Kitamura).
This demonstration experiment was conducted as a work by Toyo Construction for the FY 2022
Model project for building production and operation & maintenance process facilitation by utilizing
BIM (leading entrepreneur type), which was adopted by MLIT.
For streamlining the progress management at construction sites, the experiment was conducted to
explore the effects of the new supervision method of works utilizing the construction BIM model
with an autonomous drone, and as a result of the exploration, we were able to confirm the expected effects.
Skydio Dock
Autonomously flying drone
The demonstration experiment was conducted with preparation of the automatic flying route using
the “Skydio Dock”, a drone site dedicated for Skydio machine, and with autonomous flying through
the cloud platform.
Since the Skydio machine is equipped with the Visual-SLAM* technology, by which the self-localization
is possible even indoors where a radio wave of GNSS (Global Navigation Satellite System) is not available,
the machine is capable to fly, with AI processing, automatically avoiding the obstacles such as cables hung
from the ceiling. Moreover, the machine is an autonomous drone that is capable to fly autonomously only
by pushing the takeoff button from a remote place, to fly autonomously through a narrow path such as stairs,
and to come back automatically to the original Dock place, and automatic charging is also available.
In the experiment, firstly, the dedicated application was activated on the PC screen, then the local operator
prepared the flight schedule by designating the flight route and photographing points. Next, according to
the flight plan, we had the drone accomplish the automatic takeoff from the Skydio Dock and take videos
of the flying route as well as still pictures at the designated points
As a result of the demonstration experiment, it was confirmed that the machine was perfectly doable to fly
at night or in a low luminance environment peculiar to construction sites, to avoid obstacles, and to move
through plural stories, and it successfully obtained the image data required to confirm the construction
status of each room.
Visual-SLAM*：visual Simultaneous Localization and Mapping (self-localization by camera image
and environmental mapping technique)
Operation from a remote place (Head office of Toyo Construction)
Operation screen of Skydio2
Moving through plural stories
Taking picture of ceiling section by Skydio2
BIM model
Construction status identical to the BIM model’s location
Also, a system has been developed for confirming the captured image data, by linking the image data
captured by the drone to the point data set on the BIM model shared on the cloud platform.
Both companies will set up a system for effective management & sharing of image data utilizing the BIM,
and will reduce the working time required for construction management / administrative tasks.
■Overview of the demonstration experiment
Date of activity: November 25, 2022 and December 19, 2022
Place: (working title) New construction for Tokyo Information Design Professional University (Komatsugawa, Edogawa city)
Contents: 1. Automatic flight from a remote place using Skydio Dock (Drone site)
2. Automatic flight under the condition of construction site
3. Utilization of captured data for construction management
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Notice Regarding Shareholders’ Demand to Call an Extraordinary General Shareholders Meeting
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YFO-related information has been updated.
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Development of forecasting system by AI for longer course of vessel
Toyo Construction Co., Ltd. (President and Representative Director: Kyoji Takezawa) has developed
the “AI forecasting system for long-term course of vessel” which enables to forecastthe course of
general vessels navigating close to the construction sea area by AIS (Automatic Identification System) data.
The AI forecasting system for long-term course of vessel is a system to forecast the course of general vessels
such as tankers or freight vessels, up to next 60 minutes. This system applies the machine learning supervised by
the previous AIS data of each port, by using the Seq2Seq (Sequence To Sequence※), a time-series forecasting model
to handle variable-length time-series data, based on the AI technology of Fujitsu Limited (CEO: Takahito Tokita) that
forecasts the future position of navigating vessel with high accuracy. During the operation, it forecasts the long-term
course of vessel using the real-time AIS data transmitted from the navigating AIS-mounted vessel as its input data.
Previously, the Company used to grasp the general vessels navigating close to the construction sea area in real time
by utilizing information of the AIS, ship radar, and GNSS (Global Navigation Satellite System), and the course up to
next 10 minutes was displayed by linear vector using the current information of vessel’s traveling direction and speed
(“Mihari-chan” (watcher in English), a navigating vessel monitoring system developed by the Company).
This development of the AI forecasting system for long-term course of vessel provides a capacity to forecast the course
up to next 60 minutes by taking into consideration the changes of vessel’s traveling direction and speed due to the
shape of harbor such as topography or shipping route. This will improve the navigation safety, not only because our
work ship will be able to ensure that measures are taken to deal with approaching general vessels at an earlier stage,
but also because the work ship’s master will be able to use the information as a judgment criterion when entering from
the construction sea area into the shipping route where general vessels are drifting.
We will expand this system nationwide by having the system learn AIS data of main ports as well as ship radar information,
which will lead to the development of a system to forecast the course of all ships including non AIS-mounted vessel,
and also will continue to improve safety in marine construction.
※Sequence To Sequence is an AI model developed by Google, modeling the probability of conversion from a series
to another series.
Route forecast by AI forecasting system for long-term course of vessel
Previous forecast by the navigating vessel monitoring system
Conceptual illustration of route forecasting
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Development of “Safety support system for crane operation” at construction siteutilizing miniature AI stereo camera
Toyo Construction Co., Ltd. (Head office: Chiyoda city, Tokyo Metropolis, President
and Representative Director: Kyoji Takezawa) has, in collaboration with RICOH Industrial
Solutions Inc. (Head office: Ota city, Tokyo Metropolis, Representative Director, President:
Hiroshi Takemoto, hereinafter “RINS”), jointly developed the “Safety support system for
crane operation” at a construction site, utilizing a miniature AI stereo camera made by RINS
A crane is usually operated by a crane operator according to the instructions by a signal person,
however, in a certain work area, a crane operator may not be able to make a direct visual confirmation
of the point of load lowering. In order to reduce such a risk, we have built up a system to notify
a crate operator of approaching workers to the hoisted load with information of three-dimensional
relative locations of the hoisted load and the workers, through identification of the hoisted load
and the workers by the AI, installing a miniature AI stereo camera at the tip of a mobile crane
operated at a construction site for identification of moving objects and recognition of the
three-dimensional location of the object.
Because of its capability to identify the three-dimensional location of hoisted load, this system enables
to detect the condition where the hoisted load is in dynamic lift off, therefore, the crane operator can
grasp the changing status from the dynamic lift off to a suspended state, in addition to the location
of the hoisted load and the workers.
Moreover, if judged to be at risk, this system will save the video of the work before and after
the judgment as a movie file to the cloud. The work manager is able to specify the cause of
the dangerous work by checking the movie as well as to provide feedback by sharing the movie
at the KY activities.
Up to now, safety improvement was confirmed by the operation verification of the system,
after making the AI camera learn the working conditions in marine works such as installation
of wave-dissipating concrete blocks, driving steel pipe pile, and caisson manufacturing, etc.
We will improve this system by application to the automated construction of construction work machine.
【Advantages of Safety support system for crane operation】
● Detecting and following the three-dimensional location of the hoisted load and the workers
by the camera downwardly installed at the tip of the crane.
● The operator can recognize the location of the workers even in a condition where the operato
is unable to make a direct visual confirmation.
● Able to detect the workers regardless of the installation position or orientation of the camera.
● Because the video is saved in the cloud, it is available for staff anywhere, and for specifying
the cause of the dangerous work as well as for providing feedback at the KY activities.
【NETIS No.】QS-220019-A (reference)
【Patent No.】6867089
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YFO-related information has been updated.
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We won the “Award for Excellence” of the Infrastructure DX Awards for FY 2022.
At the awarding ceremony of the “Infrastructure DX Awards” hosted by the Ministry of Land,
Infrastructure and Transport (MLIT) on March 17, 2023, Toyo Construction Co., Ltd.
(President and Representative Director: Kyoji Takezawa) was awarded the Award for Excellence
for the “Quay (-14m) construction work at Tsuruga Port (southern Maruyama area) (No. 3)”
completed in FY 2021 by our Hokuriku branch.
We were awarded the prize because of the following three reasons.
● In the construction of the quay wall, etc., we saved the manpower of 3 workers
(approx. 28%) and shortened the construction period by approx. 2 hours per box,
by using the “Box-navi”, a caisson installation system to visualize the location and
movement of caissons in real time as well as by visualizing and automating
the water feed/discharge control.
● The approach improved the safety as well as efficiency by utilizing the ICT technology,
which resulted in reducing the leveling work by divers by 26% with the visualization of
rubble deposition by introducing the Injection Location Guidance System utilizing the GNSS
and with the heavy weight compaction by using the Construction Management System utilizing
the 360-degree VR images.
● Since utilization of the installation of deformed concrete caissons with an asymmetric structure
has been implemented and further improvements, including the utilization of other company’s
technologies according to site conditions, are anticipated in the future, ripple effects are expected.
MLIT began the i-Construction Awards in FY 2017, and changed the name to the “Infrastructure DX Awards”
in FY 2022, expanding the eligibility to include efforts for non-construction industry such as utilization of
infrastructure or improvement of services, in addition to efforts for productivity improvement at construction sites.
Mr. Tetsuo Saito, Minister of MLIT, praised the efforts of award winners saying, “This is the realization of DX
in the infrastructure area.” at the award ceremony. As MLIT designates 2023 as the “breakthrough year”
to further accelerate the transformation by the DX, the Company will focus more fully on the DX to
contribute to the improvement of industry-wide productivity and safety.
Mr. Obayashi, Director, receiving
the certificate of commendation
From the left, Mr. Obayashi, Director,
and Mr. Tetsuo Saito, Minister of MLIT
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Participated in the 60th Anniversary of Japan-Kenya Diplomatic Relations Commemorative Tree-Planting Ceremony
TOYO Construction Co., Ltd. (TAKEZAWA KYOJI, President and Chief Executive Officer) participated in the
“60th Anniversary of Japan-Kenya Diplomatic Relations Commemorative Tree-Planting Ceremony “
held at the Kenyan Embassy in Tokyo on March 3, 2023.
Ambassador Inari and Minister Alai from the Republic of Kenya, Mr. Matsubayashi, Deputy Director
General of the Africa Division of the Ministry of Foreign Affairs, and Mr. Egami, Director of Africa
Division 1 of JICA attended the ceremony, and Mr. Shuichi Aikawa, Executive Officer and General Manager
of International Division of TOYO planted camellia trees.
Several Japanese private companies participated in this tree-planting ceremony, and TOYO was invited in
recognition of its 11 years of experience in constructing container terminals at the Port of Mombasa, Kenya.
TOYO will continue its efforts to contribute to the economic development of the Republic of Kenya
through infrastructure development.
Mr. Aikawa planting a tree
Commemorative photo
with Ambassador Inari
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WIND EXPO Spring 2023 We participated in the 11th WIND EXPO
Toyo Construction Co., Ltd. (President and Representative Director: Kyoji Takezawa) participated in the
“WIND EXPO – International wind power generation exhibition” held at Tokyo Big Site during
the period from 15 through 17 of March 2023.
We explained our technology development for further expansion of offshore wind power generation
and increased use of recyclable energy, by giving the presentation of “TLP*1 floating offshore wind turbines”
and “Suction bucket foundation*2 construction demonstration” using a large screen at our booth
(total 12 times a day). At the panel corner, in addition to our technology development, the construction of
a cable-laying vessel and the collaboration with Mitsui O.S.K. Lines, Ltd. were exhibited.
We would like to extend our special thanks to those customers and relevant people who visited our booth.
The Company will advance our technology development and capital investment related to construction of
offshore wind power generation facilities, and will contribute to the spread of offshore wind power generation
of Japan.
TLP method*1: one of the floating systems for floating offshore wind turbines. It is characterized by
the tension mooring with which the floating is stabilized by pulling down below using a mooring foundation
installed at the seafloor. Abbreviation of Tension Leg Platform.
Suction bucket foundation*2: A new foundation type of bottom-mounted offshore wind power generation.
The embedded length is shorter than a pile foundation type such as mono-pile. It is statically penetrated
using negative pressure generated by drainage of inner water.
Our booth①
Our booth②
Many people gathering for the presentation
using a large screen
Scene of presentation
Suction bucket
(Multi-type (left), Mono-type (right)
Demonstration experiment of suction bucket
TLP Floating Offshore Wind Turbines
(Image courtesy: MODEC, Inc.)
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Notice Regarding Postponement of the Timing of Report by the Special Committee
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