TY - JOUR
T1 - ACbot
T2 - an IIoT platform for industrial robots
AU - Wang, Rui
AU - Mou, Xudong
AU - Wo, Tianyu
AU - Zhang, Mingyang
AU - Liu, Yuxin
AU - Wang, Tiejun
AU - Liu, Pin
AU - Yan, Jihong
AU - Liu, Xudong
N1 - Publisher Copyright:
© Higher Education Press 2025.
PY - 2025/4
Y1 - 2025/4
N2 - As the application of Industrial Robots (IRs) scales and related participants increase, the demands for intelligent Operation and Maintenance (O&M) and multi-tenant collaboration rise. Traditional methods could no longer cover the requirements, while the Industrial Internet of Things (IIoT) has been considered a promising solution. However, there’s a lack of IIoT platforms dedicated to IR O&M, including IR maintenance, process optimization, and knowledge sharing. In this context, this paper puts forward the multi-tenant-oriented ACbot platform, which attempts to provide the first holistic IIoT-based solution for O&M of IRs. Based on an information model designed for the IR field, ACbot has implemented an application architecture with resource and microservice management across the cloud and multiple edges. On this basis, we develop four vital applications including real-time monitoring, health management, process optimization, and knowledge graph. We have deployed the ACbot platform in real-world scenarios that contain various participants, types of IRs, and processes. To date, ACbot has been accessed by 10 organizations and managed 60 industrial robots, demonstrating that the platform fulfills our expectations. Furthermore, the application results also showcase its robustness, versatility, and adaptability for developing and hosting intelligent robot applications.
AB - As the application of Industrial Robots (IRs) scales and related participants increase, the demands for intelligent Operation and Maintenance (O&M) and multi-tenant collaboration rise. Traditional methods could no longer cover the requirements, while the Industrial Internet of Things (IIoT) has been considered a promising solution. However, there’s a lack of IIoT platforms dedicated to IR O&M, including IR maintenance, process optimization, and knowledge sharing. In this context, this paper puts forward the multi-tenant-oriented ACbot platform, which attempts to provide the first holistic IIoT-based solution for O&M of IRs. Based on an information model designed for the IR field, ACbot has implemented an application architecture with resource and microservice management across the cloud and multiple edges. On this basis, we develop four vital applications including real-time monitoring, health management, process optimization, and knowledge graph. We have deployed the ACbot platform in real-world scenarios that contain various participants, types of IRs, and processes. To date, ACbot has been accessed by 10 organizations and managed 60 industrial robots, demonstrating that the platform fulfills our expectations. Furthermore, the application results also showcase its robustness, versatility, and adaptability for developing and hosting intelligent robot applications.
KW - IIoT platform
KW - cloud-edge collaboration
KW - industrial robots
KW - intelligent applications
UR - https://www.scopus.com/pages/publications/85206855045
U2 - 10.1007/s11704-024-3449-x
DO - 10.1007/s11704-024-3449-x
M3 - 文章
AN - SCOPUS:85206855045
SN - 2095-2228
VL - 19
JO - Frontiers of Computer Science
JF - Frontiers of Computer Science
IS - 4
M1 - 194203
ER -