Abstract

Online monitoring for sliver quality is an important part of the drawing process. This paper presents a high-speed drawing frame monitoring system based on Internet of Things (IoT) using Message Queuing Telemetry Transport (MQTT) protocol, which consists of drawing frame IoT terminal equipment, the cloud server and PC or mobile terminal equipments. Drawing frame IoT terminal equipment takes Cortex-A7 and Cortex-M4 of series of i.MX7 as its control cores. The A7 processor publishes IoT data as a communication gateway while the M4 processor collects sensor data and executes local on-line detection program. Two processors run Linux and FreeRTOS as operating system respectively, and the data exchange between them adopt rpmsg pattern. The communication gateway using MQTT publishes data of the IoT terminal to the cloud server for remoting monitoring and intelligent diagnosis, when the local on-line detection system aims at acquiring real-time status of the sliver on drawing frame. Users can check the real-time status of the drawing frame at the subscription end of IoT and on the computer or mobile phone end by subscribing message by theme. Experiments show that the system operates with reliability, and is good compatible with other devices because of the modular design. The adoption of this system can promote the digitization and the intelligentialize of the drawing frame.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.