Voiceprint identification and fault diagnosis monitoring alarm method for elevator abnormity

Abstract

The invention discloses a voiceprint identification and fault diagnosis monitoring alarm method for elevator abnormity. A set of special voiceprint acquisition device is arranged in an elevator car inthe traction machine area of an elevator, and a special elevator voiceprint identification verification and fault diagnosis monitoring alarm device is arranged on an external fault diagnosis monitoring server, so that fault diagnosis and remote monitoring alarm of the elevator are realized through voiceprint identification, abnormal conditions of the elevator can be quickly and accurately found through voiceprint identification, parts where faults possibly occur are judged, and monitoring personnel are timely reminded for processing. When abnormal conditions occur in the elevator car, intelligent voice prompts people in the elevator car with voice. Once the elevator fails or abnormal conditions occur, abnormity can be found in time, alarm processing can be carried out, and rescue and maintenance efficiency is improved.

Description

technical field [0001] The invention relates to a voiceprint recognition and fault diagnosis monitoring and alarm method for abnormal elevators, belonging 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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