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.