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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Fast Elevator Vibration Signal Cloud Collection System Using Data Compression and Encryption Algorithms [PDF]

Hsiung-Cheng Lin, Fu-Yu Chou, Yu-Xiang Hong, and Yi-Wei Wang

(Received October 3. 2021; Accepted January 31, 2022)

Keywords: Wi-Fi module, database, elevator, compression, encryption

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 interms of speed, robustness, and accurate data transmission.

Corresponding author: Hsiung-Cheng Lin




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