基于有监督深度学习的设备数字化模型的构建与实现OA

In order to improve the security and reliability of the digital system for equipment,this article uses an im-proved fuzzy control algorithm through a data acquisition module and a digital model module,which can automatically adjust the motion parameters of sensors and collect equipment data in real-time using multiple sensors.The digital model module adopts improved convolutional neural network algorithm and back propagation algorithm,greatly improving the generaliza-tion ability and accuracy of the model.After testing,the peak signal-to-noise ratio of the collected images by the data acqui-sition module of the system is 39.13,the color distortion evaluation of the equipment model is 0.0382,and the structural similarity evaluation of the equipment model is 0.8962,which meets the requirements of digital monitoring and management of equipment.