国産産業用ドローンのACSL

Autonomous
Control
Systems
Laboratory

Autonomous
Control
Systems
Laboratory

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Inspection drone enable to fly autonomously in smoke stack

The drone specializes in smoke stack inspection. Proprietary control algorithm centers the drone inside the smoke stack enabling stable and continuous inspection inside smoke stack. Onboard LED illuminates the environment to help capture 60MP high-quality images for crack detection.

  • ドローンにとりつけたカメラ
  • エマージング・ユースケース 倉庫床面検査（非GPS環境）
  • エマージング・ユースケース 倉庫床面検査（非GPS環境）
  • ドローンにとりつけたカメラ
  • エマージング・ユースケース 倉庫床面検査（非GPS環境）
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KEY FEATURE

Autonomous flight using LiDAR control and direction detection with lighting

In order to provide self-positioning in GPS-denied environments such as inside of a smoke stack, a LiDAR is being used. By taking advantage of LiDAR's unique ability to understand the shape of an object even in dark places, system creates point clouds of surroundings. The distance between the drone and the smoke stack wall is calculated by illuminating the smoke stack with LiDAR in the horizontal direction, and the drone is always controlled to stay in the center position. For orientation recognition, the lights on the smoke stack base are captured by a camera mounted on the drone. This allows the drone to recognize changes in its heading. These technologies enable the drone fly stably in the smoke stack of more than 100 meters high.

Visual SLAMとLiDARの組み合わせによる自律飛行

FEATURES

  • FLIGHT CONTROLLER

    FEATURE 01

    FLIGHT CONTROLLER
    ACSL's proprietary control algorithm
    Flight controller is a critical component of the drone. ACSL has developed own flight controller based on proprietary advanced control algorithms.
  • INSPECTION CAMERA

    FEATURE 02

    INSPECTION CAMERA
    0.5mm crack detection
    A wide variety of cameras can be mounted as a payload. High-resolution cameras allows to detect up to 0.5mm degradation . (Example: SONY α7R4 70mm lens, shot from 5m distance)
  • DRONE CONTROL WITH LiDAR

    FEATURE 03

    DRONE CONTROL WITH LiDAR
    Drone control technology using LiDAR, which is good at confined spaces
    LiDAR technology makes it possible for drones to estimate their own position even in difficult situation for image recognition. (e.g. dark, no feature pattern.) Particularly in cylindrical structures such as tunnels and smoke stuck, where the cross-sectional structure is the same, is effective to control the position of the drone using LiDAR.
  • FLIGHT CONTROLLER

    FEATURE 01

    FLIGHT CONTROLLER
    ACSL's proprietary control algorithm
    Flight controller is a critical component of the drone. ACSL has developed own flight controller based on proprietary advanced control algorithms.
  • INSPECTION CAMERA

    FEATURE 02

    INSPECTION CAMERA
    0.5mm crack detection
    A wide variety of cameras can be mounted as a payload. High-resolution cameras allows to detect up to 0.5mm degradation . (Example: SONY α7R4 70mm lens, shot from 5m distance)
  • DRONE CONTROL WITH LiDAR

    FEATURE 03

    DRONE CONTROL WITH LiDAR
    Drone control technology using LiDAR, which is good at confined spaces
    LiDAR technology makes it possible for drones to estimate their own position even in difficult situation for image recognition. (e.g. dark, no feature pattern.) Particularly in cylindrical structures such as tunnels and smoke stuck, where the cross-sectional structure is the same, is effective to control the position of the drone using LiDAR.
  • FLIGHT CONTROLLER

    FEATURE 01

    FLIGHT CONTROLLER
    ACSL's proprietary control algorithm
    Flight controller is a critical component of the drone. ACSL has developed own flight controller based on proprietary advanced control algorithms.
  • INSPECTION CAMERA

    FEATURE 02

    INSPECTION CAMERA
    0.5mm crack detection
    A wide variety of cameras can be mounted as a payload. High-resolution cameras allows to detect up to 0.5mm degradation . (Example: SONY α7R4 70mm lens, shot from 5m distance)
  • DRONE CONTROL WITH LiDAR

    FEATURE 03

    DRONE CONTROL WITH LiDAR
    Drone control technology using LiDAR, which is good at confined spaces
    LiDAR technology makes it possible for drones to estimate their own position even in difficult situation for image recognition. (e.g. dark, no feature pattern.) Particularly in cylindrical structures such as tunnels and smoke stuck, where the cross-sectional structure is the same, is effective to control the position of the drone using LiDAR.
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Autonomous flight for
close visual inspection
under bridges and indoors
TUNNEL AND SMOKE STUCK INSPECTION

SCENE 01

TUNNEL AND SMOKE STUCK INSPECTION
With the use of drones, inspection for tunnels and smoke stack can be done remotely and safely. Using specialized cameras, 0.5mm cracks on concrete surface can be detected.
TANK INSPECTION

SCENE 02

TANK INSPECTION
Utilizing Visual SLAM with drones, inside tanks can be inspected much faster and safer compared to conventional manually operated drones.
BOILER INSPECTION

SCENE 03

BOILER INSPECTION
Utilizing Visual SLAM with drones, inside boilers can be inspected much faster and safer compared to conventional manually operated drones.

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スペック
STRUCTURE
Width
1173 ㎜
Height
654 ㎜
Weight incl. 1 battery
7.07 ㎏
COMMUNICATION SYSTEM
Radio controller
2.4 GHz
Telemetry link
920 MHz
FLIGHT CONTROL SYSTEM
Autopilot
ACSL AP 3
PERFORMANCE
Flight speed(autonomous)
Horizontal: 10 m/s　Ascend: 3 m/s　Descend: 2 m/s
Altitude
150 m (Civil Aeronautics Law)
Wind resistance
10m/s
Maximum flight time
29 min (with no payload)
Maximum pay load
2.75 ㎏
BATTERY
Capacity
12,000 mAh x2
Normal Voltage
22.2 V
Battery type
LiPo 6s
FUNCTION
  • ■ Safety function
  • 　Dustproof and waterproof: IP54
  • 　Fail safe function in string wind
  • 　Rout reverse return to home
OPTION
  • ■ 60M pix camera (SONY α7R4)
  • ■ 5.7GHz video transmitter (license Not needed)
  • ■ Propeller guard

The product specifications may change without prior notice.

The product specifications may change
　without prior notice.

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  • 設備と一定の距離を保つ技術を用いて、プラント内の配管点検を実施

    CASE 01

    Plant facility regular monitoring using drones
    Distance control for plant inspection

    Visual SLAM technology can be applied to control drone at a constant distance from inspection target such as pipes and walls. This technology makes it easier to capture images at same angle, allowing inspector to compare the severity of the damage over time.

  • 非GPS環境でも安定した飛行

    CASE 02

    Visual SLAM for GPS-denied environment
    Visual SLAM enabling indoor autonomous flight

    Visual SLAM computes drone position relative to the surrounding environment by extracting feature points and saving them as point cloud. This enables drone to conduct repetitive missions indoor, such as regular inspection of facility, warehouse stock counting, and tunnel inspection.

  • 設備と一定の距離を保つ技術を用いて、プラント内の配管点検を実施

    CASE 01

    Plant facility regular monitoring using drones
    Distance control for plant inspection

    Visual SLAM technology can be applied to control drone at a constant distance from inspection target such as pipes and walls. This technology makes it easier to capture images at same angle, allowing inspector to compare the severity of the damage over time.

  • 非GPS環境でも安定した飛行

    CASE 02

    Visual SLAM for GPS-denied environment
    Visual SLAM enabling indoor autonomous flight

    Visual SLAM computes drone position relative to the surrounding environment by extracting feature points and saving them as point cloud. This enables drone to conduct repetitive missions indoor, such as regular inspection of facility, warehouse stock counting, and tunnel inspection.

  • 設備と一定の距離を保つ技術を用いて、プラント内の配管点検を実施

    CASE 01

    Plant facility regular monitoring using drones
    Distance control for plant inspection

    Visual SLAM technology can be applied to control drone at a constant distance from inspection target such as pipes and walls. This technology makes it easier to capture images at same angle, allowing inspector to compare the severity of the damage over time.

  • 非GPS環境でも安定した飛行

    CASE 02

    Visual SLAM for GPS-denied environment
    Visual SLAM enabling indoor autonomous flight

    Visual SLAM computes drone position relative to the surrounding environment by extracting feature points and saving them as point cloud. This enables drone to conduct repetitive missions indoor, such as regular inspection of facility, warehouse stock counting, and tunnel inspection.

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