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Elevator floor height calibration method based on Gaussian distribution model, electronic equipment and storage medium

A technology of Gaussian distribution model and calibration method, applied in character and pattern recognition, instruments, elevators, etc., can solve the problems of no error correction, influence, indistinguishable frequency of data, etc., and achieve the effect of good tolerance

Pending Publication Date: 2021-08-20
SHANGHAI YOGO ROBOTICS CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

Disadvantages of this method: the wrong data of the sensor will have a great impact on the height of the last floor, and there is no ability to correct errors
Disadvantages of this method: When the sampling accuracy is not high enough, the final positioning accuracy is not high. When the sampling accuracy is high, the frequency of the real height and the frequency of the wrong data cannot be distinguished, and it is easy to get wrong results

Method used

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  • Elevator floor height calibration method based on Gaussian distribution model, electronic equipment and storage medium
  • Elevator floor height calibration method based on Gaussian distribution model, electronic equipment and storage medium
  • Elevator floor height calibration method based on Gaussian distribution model, electronic equipment and storage medium

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Embodiment Construction

[0023] Preferred embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the scope of this application to those skilled in the art.

[0024] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes a...

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Abstract

The application provides an elevator floor height calibration method based on a Gaussian distribution model, electronic equipment and a storage medium. The elevator floor height calibration method based on the Gaussian distribution model is used in an elevator positioning system, and comprises the steps of acquiring height data and speed data of an elevator floor by virtue of a UWB sensor and a MEMS sensor, then fusing the acquired data by virtue of a square root information filter, performing modeling of the Gaussian distribution model by virtue of the fused data, then iterating the Gaussian distribution model for multiple times, continuously removing points with relatively big errors to obtain the stable Gaussian distribution model, and calculating to obtain a height value of the elevator floor. The Gaussian distribution model has good tolerance to error data, and can also be used for obtaining high-precision elevator floor height calibration data.

Description

technical field [0001] The present application relates to the technical field of elevator floor height calibration, in particular to an elevator floor height calibration method based on a Gaussian distribution model, electronic equipment and a storage medium. Background technique [0002] In the related art, for the calibration of the elevator floor height, the height information obtained by the sensor is usually used to determine the real height of the floor. Generally, the methods that can be used are: [0003] Mean method: Calculate the average height of the docking position as the height value of the floor, and judge the floor by judging the distance. The disadvantage of this method: the wrong data of the sensor will have a great impact on the height of the last floor, and there is no ability to correct errors. [0004] Histogram frequency method: By sampling the height of the docking position, the frequency histogram of the height is obtained, and the height with the h...

Claims

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Application Information

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IPC IPC(8): B66B3/02G06K9/62
CPCB66B3/02B66B3/023G06F18/251
Inventor 陈国军
Owner SHANGHAI YOGO ROBOTICS CO LTD
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