Industry 4.0 facilitates the vision a "Smart Factory", which incorporates the contemporary techniques of artificial intelligence (AI), cyber-physical systems (CPS), internet-of-things (IoT), smart sensors, cloud computing, big-data analytics, and predictive maintenance, to dramatically promote the productive performance of industries. This integrated project aims on developing key techniques of intelligent industrial IoT cloud and autonomous vehicular techniques for efficient integration of heterogamous manufacturing equipment in factories. Our research group will examine the planned key techniques of intelligent IoT cloud-fog computing platform, artificial intelligence, smart sensors, autonomous guided vehicles on manufacturing lines of the motor factories provided by TECO Inc.1.The rotor balance column information is located through the ToF depth image to achieve the identification and analysis of the rotor dynamic balance of the washer configuration, improve the dynamic balance adjustment efficiency.
2. Develop new VVC (H.266) universal video fast encoding technology, shorten the encoding time by 63.7% when the code rate BDBR is increased by 1.88%
3.Customized packaging technology to reduce the installation cost of piezoelectric film sensors in factories.
4.RTT path planning can monitor the status of multiple AGVs on the cloud platform, and eliminate AGV failures or obstacles that cannot be passed in a simple way.
5.Regardless of whether there are obstacles or not, the UWB positioning system based on IMU achieves a positioning accuracy of about 10cm.The team simultaneously develops value-added applications of precision mold smart manufacturing technology based on the mold processing process and product trial mold requirements. This series of technologies has assisted the industry to establish an accurate decision feedback system, to optimize adjustment and verification of complete manufacturing technology, and to improve the mold processing efficiency and utilization rate through intelligent IoT cloud monitoring technology.
UWB positioning technology can include different target objects such as personnel and self-propelled vehicle movement, material storage in a more complex IoT smart factory environment, providing an accurate positioning system to achieve personnel control and control that meet the needs of smart factories.