In order to ensure the safe and stable operation of the elevator,designs an elevator fault detection and early warning system,which collects the vibration acceleration signal of elevator car through sensors and transmits it through Ethernet.The Flume,Kafka and Flink are used to build a cluster data flow processing engine to aggregate and distribute data and store it in the MySQL database.Based on the IntelliJ IDEA development tool,the visual interface of the system is constructed to realize real-time monitoring and fault early warning of elevator operation,which provides the basis for fault diagnosis and preventive maintenance of elevator.
elevatorInternet of thingsfault monitoring and early warningsystem development
国家科技期刊平台
NSTL
维普
万方数据
