Voiceprint recognition and fault diagnosis monitoring alarm system for elevator anomaly

Abstract

The invention discloses a voiceprint recognition and fault diagnosis monitoring alarm system for elevator anomaly. A set of special voiceprint collection devices is arranged at the area of a tractionmachine and a car of an elevator, and an external fault diagnosis monitoring server is provided with special elevator voiceprint recognition check and fault diagnosis monitoring alarm devices, so thatfault diagnosis and remote monitoring alarm of the elevator are achieved through voiceprint recognition; the elevator anomaly can be found through voiceprint recognition quickly and accurately, and the monitoring alarm system can be used for judging the position where faults may occur, and alerting monitoring personnel for processing in time; and when the anomaly occurs in the car, a voice promptis provided for people in the car through intelligent voice. Once the elevator malfunctions, or the anomaly occurs, the fault and anomaly can be found for alarm processing in time; and the rescue andmaintenance efficiency is improved.

Description

technical field [0001] The invention relates to an elevator abnormal voiceprint recognition and fault diagnosis monitoring and alarm system, which belongs to the technical field of elevator equipment. Background technique [0002] At present, the working status of the elevator traction machine is generally judged by the experience of the elevator maintenance personnel in the machine room. This detection method is highly subjective and has a lot to do with the ability of the maintenance personnel, because human judgment is required Whether the working condition of the lead-in machine is abnormal, so real-time detection cannot be achieved, and it is difficult to determine the location of the fault. [0003] Many elevator cars are not equipped with video surveillance systems, and even if there are cameras in the elevators for video surveillance, but the number of elevators is large, the sound in the elevator cannot be heard in the video, and manual observation cannot clearly ju...

AI Technical Summary

Problems solved by technology

[0002] At present, the working status of the elevator traction machine is generally judged by the experience of the elevator maintenance personnel in the machine room. This detection method is highly subjective and has a lot to do with the ability of the maintenance personnel, because human judgment is required Whether the working condition of the pilot machine is abnormal, so real-time detection cannot be achieved, and it is difficult to determine the location of the fault

[0003] Many elevator cars are not equipped with video surveillance systems, and even if there are cameras in the elevators for video surveillance, but the number of elevators is large, the sound in the elevator cannot be heard in the video, and manual observation cannot clearly judge whether each elevator is are running normally

For the situation that many people take the elevator illegally, the monitoring personnel cannot provide timely and effective reminders, and there are many unsafe elevator riding behaviors

Once the elevator is closed, many people don't know how to call the police, which will easily cause panic among the trapped people, and what's more, they will blindly save themselves, causing even greater safety accidents.

For the abnormal behavior of taking the elevator and the situation of the elevator closing people, it cannot be detected in time or the alarm can be dealt with, which leads to the lag of rescue and maintenance

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