Abstract
With the development of economy, elevator has become one of the essential means of transportation in people’s life. However, due to the complexity of the elevator internal system, the sensors collect a large number of elevator operation data so that the reliability and real-time of data processing is very important for the safety monitoring of elevator operation. To solve this problem, this paper proposes an elevator real-time monitoring method based on spark. By using the stream data processing method provided in spark streaming, a large number of real-time data are divided into time windows, the data is divided into small batches of data below the second level and submitted to spark engine for analysis and processing, which greatly improves the speed and throughput of data processing.
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