Lift Engineering Equipment Event Log Data Analysis

Abstract

This paper is devoted to the collection and analysis of log files of lift engineering equipment, considering their technical complexity and significant impact on the safety of their use. The usage of log analysis can quickly identify and resolve problems, keeping elevators functional, extending service life, and increasing passenger safety. Using a log file of a real IoT monitoring system, the study provides baseline statistics, revealing information about event distribution and hardware status. The analysis focuses on the "Elevator Power On/Off" event type, focusing on the average time for the equipment to transition from an emergency state to a normal state, as well as calculating the probability of remaining in an operating state for 1, 12, or 24 hours. The results highlight the different transition times between the equipment under consideration, providing valuable information for maintenance planning and resource optimization