Most of the factories use fixed-cycle maintenance and manual inspection to ensure the stability of machine operation, but it is nearly impossible to avoid unexpected abnormal condition which leads to unplanned downtime and causes heavy losses. The predictive maintenance system for robotic arm can solve above pain points caused by non-transparent machine status and information transmission lags. By quantifying robotic arm's health status and providing early warning of abnormal condition, it ensures the stable operation of the robot arm, improves the efficiency of the production line, avoids product quality issue, and reduces the cost of unnecessary maintenance.

AIC IoT Studio is an IoT development tool based on Node-RED. IoT Cloud AIoT development can be codeless drag-and-drop nodes to set up the factory equipment's machine network process management with a visual development environment and develop a smart factory using industrial big data. All the nodes that need to be used on the Gateway, such as Modbus node, computing node, transmitting node, receiving node and HTTP node, have been completely deployed to modularize the connected devices without re-writing the code and achieve the nearly codeless development of software services for the Internet of Things. The device is deployed in edge computing and supports multiple computing functions. A variety of function node scripts are obtained from the edge server and sealed packages are generated and sent directly to the target gateway to execute the process of each function node in sequence.

Based on machine to machine (M2M) communication processing, Opc Ua is used to define data transmission between two or even multiple devices, which can be wired transmission or wireless transmission. It belongs to the function of Internet of Things transmission, not limited to smart devices and data exchange. It also includes digital signal transmission of sensors and actuators, which is transmitted from on-premises to the cloud after edge computing for complex factory data transmission and analysis operations. Under the trend of Industry 4.0, the development from automation to intelligence achieves the so-called “Smart Factory”, which has the ability to optimize the production process of the factory by itself and expand without human intervention. Moreover, it is able to track in real-time, the entire production process, life cycle, utilization rate, cumulative production value and innovation, all of which can deploy IoT for learning through Opc Ua.