Fast Elevator Vibration Signal Cloud Collection System Using Data Compression and Encryption Algorithms

Abstract

Currently, commercial elevators still lack the capability of collecting dynamic vibration data. This makes it difficult to generate an early warning sign for preventive maintenance or predict possible elevator malfunction in advance. For this reason, we aim to develop a wireless elevator vibration data collection system through data compression and encryption. First, the vibration signal produced from an accelerometer in the elevator is received and compressed into hexadecimal data by a microprocessor. Second, the received data is encrypted on the basis of Advanced Encryption Standard (AES), and it is then sent to a server via a Wi-Fi module. Third, through decryption and decompression processes, the original vibration data is restored in a MySQL database that can be tracked from an online web human-machine interface (HMI). Experimental results demonstrated that the restored data is consistent with the original data. Additionally, the total time for data transmission with compression and encryption is reduced fourfold compared with the traditional method. This verifies the superiority of the proposed system in terms of speed, robustness, and accurate data transmission.

Design of Non-Intrusive Online Monitoring System for Traction Elevators

“…There are three main parts in this system: the sensor part, the microcontroller part, and the information management system part [23][24][25]. The system structure is shown in Figure 1.…”