A speed off-line processing method for an elevator with vibration during a section of operation

Abstract

The invention discloses a speed online processing method for an elevator with vibrations in a one-section operation process. The speed online processing method specifically comprises the following steps: 101) obtaining accelerated speed; 102) obtaining original accelerated speed; (103) performing window filter treatment; and 104) obtaining speed. The invention provides the speed online processingmethod for the elevator with vibrations in the one-section operation process, and the method can calculate speed, during normal operation, of the elevator, and still can accurately calculate elevatorspeed if the elevator has short-time vibration or continuous vibration in the operation process.

Description

technical field [0001] The invention relates to the field of elevators, more specifically, it relates to an off-line speed processing method for an elevator with vibration during a section of operation. Background technique [0002] The current patent CN 107215734 A is a method and system for real-time acceleration, speed and position detection of elevators, which is the closest to this solution. This invention filters the collected acceleration signals through the classical Kalman filter algorithm and fits them into real-time acceleration. The integration algorithm calculates real-time acceleration as real-time velocity. Among them, the basic idea of ​​the classic Kalman filter algorithm is to use the minimum mean square error as the best estimation criterion, use the state space model of signal and noise, and use the estimated value at the previous moment and the observed value at the current moment to update the state variable. Estimate, get the estimated value at the cu...

AI Technical Summary

Problems solved by technology

[0003] Disadvantages of this technical solution: This solution uses the classic Kalman filter method to filter the acceleration. In the filtering process, the default process excitation noise and observation noise conform to the normal distribution, and the noise remains unchanged during the filtering process. This obviously does not conform to the characteristics of the elevator vibration, that is to say, the elevator vibration does not necessarily satisfy the normal distribution, and the result after filtering will not be very good, which will lead to inaccurate speed calculated by the subsequent acceleration integration

If the speed calculation method in this scheme is applied to an elevator with vibration during its operation, and its speed is calculated offline, similarly, since the vibration noise is defaulted to conform to the normal distribution, the speed will be inaccurate

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