At present, extensive offline management is still common in China’s textile equipment industry. Traditional mechanical automation equipment fails to adapt to the various changes and development of the market and consumes enormous labor costs. To tackle the problems in the textile equipment industry, this study develops a double twister monitoring system based on the Internet of things with some technologies such as the Internet of things and cloud computing, taking new industrialization as the goal. It also puts forward a remote data acquisition and transmission scheme with MQTT server and intelligent module under cloud at the core and realizes the storage, remote monitoring, and control of data from double twisters and other textile equipment with the help of a database and the Web server technology. The intelligent module under cloud adopts plug-and-play and self-learning station number modes to improve the convenience of sensor networking, avoiding plenty of routing difficulties. Practice test results show that the system can achieve the target functions and enhance the informatization level of workshops in textile enterprises. The cost of raw materials is reduced by about 2.1%, and the work efficiency of workers is increased by 25%.