Characteristic-signal-based elevator safety checking device and elevator safety checking method

Abstract

The invention relates to a characteristic-signal-based elevator safety checking device and an elevator safety checking method. The elevator safety checking device comprises a signal detection unit, a data acquisition unit and a microprocessor, which are connected in turn, wherein the signal detection unit is used for detecting the vibration information and noise information of the elevator; the data acquisition unit is used for acquiring a signal from the signal detection unit; the microprocessor is used for extracting the characteristic signals of the vibration information and the noise information under different working conditions of the elevator and processing the signals; and the signal detection unit is arranged on an elevator tractor unit. The device is widely applied, and can effectively give a fault alarm or early warning for elevators of different specifications and from different manufacturers. According to the elevator safety checking method based on the device, the characteristics of the vibration signal are extracted by using wavelet transform, the set working conditions of the elevator can be identified, an expert policy knowledge library can be built, consequently the functions of noncontact remote monitoring, fault diagnosis and the like can be realized, and the safety of the elevator can be improved.

Description

technical field [0001] The invention relates to the field of elevator safety monitoring, in particular to an elevator safety detection device and a safety detection method based on characteristic signals. Background technique [0002] The elevator safety control strategy and the correct execution of each decision are based on the accurate identification and judgment of the elevator state. In practice, one way to characterize the elevator state is to draw the eigenvalue curve of the elevator working condition. The eigenvalue can be is vibration or noise information. Research has found that the characteristic curve of the elevator traction unit will be abnormal when some faults occur in the elevator, but the current characterization of the elevator state directly depends on the signals fed back by the scattered sensors in the elevator control system. To realize the identification of the elevator state And on this basis, carry out safety-related innovative work, which needs to ...

AI Technical Summary

Problems solved by technology

Research has found that the characteristic curve of the elevator traction unit will be abnormal when some faults occur in the elevator, but the current characterization of the elevator state directly depends on the signals fed back by the scattered sensors in the elevator control system. To realize the identification of the elevator state And on this basis, carry out safety-related innovative work, which needs to go through complex processes such as decoding of many switching signals, deciphering of communication protocols, and secondary development of control codes. Due to the different elevator controllers provided by different companies The information code standards are different, and the communication protocol is not disclosed to the public. In addition, the current situation of the coexistence of various ladder types in the elevator market in my country, the development of safety technology based on the redevelopment of the elevator control system lacks independence and versatility, which seriously restricts the development of technology. However, building a monitoring system independent of the original elevator system based on the traditional elevator state representation method is expensive, extremely difficult to construct, and basically inoperable. In recent years, with the continuous improvement of people's safety awareness, elevator providers urgently need a A low-cost, wide-applicable eigenvalue detection and extraction device

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