Design of real-time monitoring method for production line equipment status based on cloud computing and internet of things technology

Pei Li, Jing Yuan, Yawen Hong and Yashe Lei

International Journal of Manufacturing Technology and Management, 2025, vol. 39, issue 1/2, 168-181

Abstract: In order to solve the problems of low monitoring accuracy and long monitoring time in the traditional real-time monitoring method of production line equipment status, this paper designs the real-time monitoring method of production line equipment status based on cloud computing and internet of things technology. Based on the perception of the internet of things labels, collect production line equipment status data and real-time upload, extract time domain parameters of production line equipment status, build historical memory matrix, establish and train multiple state estimation model, design distributed processing cloud computing platform MapReduce framework, complete real-time monitoring of production line equipment status under this framework. The experimental results show that the real-time monitoring accuracy of production line equipment status by the proposed method is 98%, the monitoring time is within 7.25 s, and it has the application effect of high precision and low time consumption.

Keywords: cloud computing; internet of things technology; production line equipment; condition monitoring; radio frequency identification; RFID. (search for similar items in EconPapers)
Date: 2025
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