Low-Cost and High-Efficiency Electromechanical Integration for Smart Factories of IoT with CNN and FOPID Controller Design under the Impact of COVID-19

This study proposes a design for unmanned chemical factories and implementation based on ultra-low-cost Internet of Things technology, to combat the impact COVID-19 industrial factories. A safety private blockchain network architecture was established, including three-layer structure comprising edge, fog, cloud calculators. Edge computing uses programmable logic controller single-chip microcomputer transmit control motion path four-axis robotic arm motor. The fog is implemented using Python software. integrated applied convolutional neural (CNN) fractional-order proportional-integral-derivative (FOPID). In addition, edge signals are transmitted through blockchain, can be directly uploaded signal integration. application production line sensor image recognition layer addressed. We verified CNN robot motor FOPID. that + FOPID method improve efficiency factory by more than 50% compared with traditional manual operators. low-cost, high-efficiency equipment new has substantial contribution potential.