Tobacco cigarette machinery and equipment maintenance based on IOT remote technology

In the current rapid development of manufacturing industry, how to realize the intelligent control of production equipment has become a key issue. Aiming at the maintenance problem of tobacco cigarette machinery and equipment, a remote overhaul system of IOT equipment is researched and designed, and a fault diagnosis algorithm based on local anomaly factor is proposed to guarantee the stable operation of the system. The results show that the proposed system's overhaul sensitivity for five kinds of common cigarette machinery is above 90%, and the highest can reach 98.87%, and can greatly improve the troubleshooting efficiency of the tobacco factory, and the overhauling time is reduced from the original 29-55min to less than 15min, and the overhauling efficiency is improved by about four times. In the test of normal sensors, the squared prediction error statistic value of all data points is less than the threshold value, so the algorithm determines that the sensor is not faulty and will not issue an alarm, which is consistent with the actual situation. When testing the sensor data with bias faults, the squared prediction error statistic for most of the data points exceeded the threshold value, so the algorithm determined that the sensor was faulty and issued an alert. The results of the study can provide certain technical support for the remote maintenance of tobacco cigarette machinery and equipment, and improve the intelligent level of tobacco production