IIoT: New horizon in factory automation

By OEM Update Editorial June 12, 2018 10:31 am

Gandharav Chopra, Sr. Engineer – Sales & Marketing, Yaskawa India
Yaskawa foresees new horizon for the world of factory automation, where ultimate efficiency and complete service is provided.

IoT (Internet of Things), Industrial 4.0 or Smart Manufacturing, the concept has taken the manufacturing world by storm. It is often being termed as the next industrial revolution, and rightly so, as it has the potential to fundamentally reconfigures the industry. The key advantage for manufacturers implementing Industrial IoT (IIoT) solutions lies in improved decision-making ability. Manufacturing equipment connected to a web-based network generates data, which upon analysis can aid manufacturers in making timely and effective choices.

Individually operating industrial devices such as robots in sites of manufacturing and other work, it is also possible to use a network to manage the devices as a system from a remote location in an effort to further raise productivity. The linking of industrial devices into a network is being pushed by the latest trends, the representative example of which is Industry 4.0, and Yaskawa is also working at the construction of systems that utilise networks.

Yaskawa is for the use of network technology in the sector of industrial robots and the robot controller functions that are a constituent element of that technology. It also explains the Yaskawa robot service using the IoT (MOTOMAN Cockpit) and cloud service (MOTOMAN-Cloud).

MOTOMAN Cockpit is a management platform enabling remote control, monitoring, and predictive maintenance of robots. This allows users to create a virtual environment in the office

Advent of IoT and M2M communication breaks ground for Yaskawa to contribute industry with integral solution of products and technologies. Yaskawa foresees new horizon for the world of factory automation, where ultimate efficiency and complete service is provided. With all information like products information, traceability information, parts maintenance information, degrade and failure diagnosis provide SaaS applications.

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