Online monitoring device and system for a 3D printing device

An online monitoring device of 3D printing equipment, comprising a signal collection module, a signal processing module, a time-frequency domain transformation module, a monitoring module and a knowledge base module;

• wherein,
• the signal collection module comprises a vibration sensor arranged on a preset component of the 3D printing equipment, wherein the vibration sensor is configured to collect vibration signals of the preset component during an operation of the 3D printing equipment;
• wherein the signal processing module is configured to convert collected vibration signals of the preset component from analog signals to digital signals;
• wherein the time-frequency domain transformation module is configured to perform time-frequency domain transformation on the digital signals of the vibration signals of the preset component separately to obtain time-frequency information data of each preset component;
• wherein the monitoring module is configured to obtain an operation state type of the preset component through a second comparative analysis model based on the time-frequency information data of the preset component, wherein the second comparative analysis model comprises one or more deep learning algorithm-based classifiers in one-to-one correspondence with the preset component, and the one or more deep learning algorithm-based classifier is configured to classify and identify an operation state type of a corresponding component based on the vibration signals of the preset component;
• and
• wherein the knowledge base module is configured to store newly added samples and initial samples of the 3D printing equipment, wherein the initial samples are time-frequency information data and corresponding operation state categories of all kinds of known operation states, and the newly added samples include time-frequency information data and corresponding operation state categories of new operation states acquired during the operation of the 3D printing equipment in real time.