Research on preventive maintenance strategy of multi-equipment system based on the internet of things

Maintenance activities of equipment are closely related to the condition of equipment and the production demand in the production system consisting of multi-equipment. The operational status of equipment determines the preventive maintenance scheme. To satisfy the maximum production demand, this research combines the Internet of Things (IoT) technology to monitor the operational status of multi-equipment in real time. Based on this, we put forward the strategies for the Preventive Maintenance (PM) by proposing the thresholds such as optimum PM interval, the minimum PM interval and maximum postponement period of PM. In the research a production demand-based PM scheduling model is proposed. Then, a genetic algorithm-based simulation optimisation was used to conduct the case solution. Results show that the strategies proposed are able to effectively coordinate the PM activities of multi-equipment, which is under the real-time condition monitoring, in the case of limits of production demand.