Braking force monitoring method for elevator traction machine based on big data

Abstract

The invention discloses a braking force monitoring method for an elevator traction machine based on big data. The method comprises the following specific steps: S1, mounting and wiring monitoring equipment; S2, sequencing and storing monitoring data; S3, extracting the monitoring data; S4, generating a standard reference power range value; S5, carrying out contrastive analysis of the monitoring data; and S6, monitoring remote monitoring staff in real time. The invention relates to the technical field of elevator monitoring. According to the braking force monitoring method for the elevator traction machine based on big data, the time-validity of elevator monitoring can be improved greatly, troubleshooting in long-term use of an inner structure of an elevator can be avoided, accidental elevator failures are monitored, too, so that the elevator traction machine is monitored in real time in a using process of the elevator. The monitoring data is analyzed and transmitted, so that a purposeof finding failures quickly and maintaining the elevator by elevator monitoring staff is achieved by monitoring the elevator in real time.

Description

technical field [0001] The invention relates to the technical field of elevator monitoring, in particular to a method for monitoring power of an elevator traction mechanism based on big data. Background technique [0002] More and more elevators have entered people's lives and gradually become an indispensable facility in people's daily production and life. It not only speeds up people's life rhythm, but also improves people's work efficiency and improves people's living conditions. It plays an irreplaceable important role in social and economic development. It is a special equipment directly related to the safety of people's lives and property. The traction machine is one of the core components of the elevator. For the traction machine, the brake is even more important. One of the components, the function of the brake is to keep the elevator car in a static state when the elevator is leveling. When the elevator fails, the car can be decelerated to stop and maintain its stat...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a big data-based elevator traction mechanism power monitoring method, which solves the problem that the existing detection method does not have timeliness, and the shortest time interval for each elevator maintenance is to test once a week , which can only avoid the long-term use of the internal structure of the elevator, but cannot monitor unexpected elevator failures, and cannot realize real-time monitoring of the traction machine braking of the elevator during the use of the elevator, and monitor the data. Analysis and transmission cannot achieve the purpose of enabling elevator monitoring personnel to quickly find faults and repair the elevator through real-time monitoring of the elevator, and cannot achieve the problem of ensuring the normal operation of the elevator and ensuring the life safety of elevator passengers

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