Nowadays, intelligent manufacturing experimental practice courses have been popularized to most of the colleges in China. However, most of these courses mainly focus on teaching of assembling and operating intelligent devices such as robots and machining centers. Less attention is paid to the problem of data flow between intelligent devices. For this reason, a data acquisition experimental platform for intelligent manufacturing and the corresponding teaching program were developed in this work. In the platform, the FDM 3D printers that have been widely used in colleges were applied as the data acquisition equipment object, the cheap but fully functional Raspberry Pi was used as the data acquisition card, and the WCF application was used as the resident program. It integrated several communication forms such as serial and HTTP. With programming techniques such as Python, C#, SQL, etc., the device real-time status data were finally imported into the server database for the subsequent use. The platform architecture has a certain versatility, which is suitable for various actual industrial field data acquisition occasions. The development of the platform itself is easy and interesting, which is especially suitable for college data acquisition experimental teaching.