A multi-model intelligent fusion method of parameterized measurement for floor recognition carried by intelligent environment carrying robot

An intelligent environment and robot technology, applied in the field of robot recognition, can solve problems such as the difficulty of floor signal interaction systems, and achieve the effect of improving generalization performance

Active Publication Date: 2018-04-13
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The floor information interactive reading method is very accurate, but this method relies on external equipment, and the elevator car is a closed environment. It is very difficult to install a robot floor signal interaction system for the existing elevator car under realistic conditions.

Method used

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  • A multi-model intelligent fusion method of parameterized measurement for floor recognition carried by intelligent environment carrying robot
  • A multi-model intelligent fusion method of parameterized measurement for floor recognition carried by intelligent environment carrying robot
  • A multi-model intelligent fusion method of parameterized measurement for floor recognition carried by intelligent environment carrying robot

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Embodiment Construction

[0056] Such as figure 1 As shown, a parameterized measurement multi-model intelligent fusion method for an intelligent environment carrying robot to identify floors, including the following steps:

[0057] Step 1. Before the robot is put into use, collect the temperature, humidity, and air pressure data of each floor of the building at different times, establish a database, and keep the database updated after the robot is put into use. Take a 10-story building as an example.

[0058] Step 2. Number the floors as Floor 1-Floor 10, and classify the data according to different floors.

[0059] Step 3. Set the hourly interval between two adjacent full points as the time interval, and extract the average values ​​of temperature, humidity, and air pressure on the 10 floors within each hour.

[0060] Step 4. For each single floor, take the mean value of temperature, humidity, and air pressure as the observed value, and take the observed value of each time interval as the sample, th...

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Abstract

The invention provides a parameterized measurement multi-model intelligent fusion method for intelligent environment carrying robots to identify floors, using low-cost temperature, humidity, and air pressure sensors to collect data and establish a database. Processing technology, using the wavelet neural network model optimized by the KH algorithm to complete the establishment of the prediction model, realize the self-adaptive identification of the elevator floor of the carrier robot in various environments, and effectively solve the problem of inaccurate floor identification caused by changes in the air pressure value at the same height in different environments Condition. In addition, the present invention does not need to modify the interior or exterior of the elevator, and has extremely high universality.

Description

technical field [0001] The invention belongs to the field of robot identification, in particular to a parametric measurement multi-model intelligent fusion method for an intelligent environment carrying robot to identify floors. Background technique [0002] Robot is a new technology that emerges with the development of modern automatic control field. Robot can significantly improve labor productivity, and play an important role in improving labor conditions, improving labor quality, and accelerating product replacement. Carrying robot is a branch of robotics, it can replace people to complete the precise and fast handling of objects. Due to the requirements of the modern application environment, the delivery robot needs to complete the delivery operation across floors. How to realize the floor identification in the elevator by the delivery robot is still a difficult problem. [0003] At present, there are mainly machine vision methods and floor information interactive rea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G01C5/06G06F17/30
CPCG06F16/2465G01C5/06G06F2216/03G06F18/23G06F18/251G06F18/214
Inventor 刘辉李燕飞米希伟王孝楠
Owner CENT SOUTH UNIV
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