Multi-natural sensing parameter fusion processing method for recognizing floor where carrying robot is arranged in intelligent environment

A parameter fusion and intelligent environment technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve frequent errors and other problems, achieve stable prediction models, improve global search capabilities, and reduce overfitting Effect

Active Publication Date: 2017-11-21
CENT SOUTH UNIV
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AI Technical Summary

Problems solved by technology

Directly using air pressure sensing to identify floors will lead to frequent errors

Method used

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  • Multi-natural sensing parameter fusion processing method for recognizing floor where carrying robot is arranged in intelligent environment
  • Multi-natural sensing parameter fusion processing method for recognizing floor where carrying robot is arranged in intelligent environment
  • Multi-natural sensing parameter fusion processing method for recognizing floor where carrying robot is arranged in intelligent environment

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Embodiment Construction

[0048] Such as figure 1 As shown, a multi-natural sensing parameter fusion processing method for an intelligent environment carrying robot to identify a floor includes the following steps:

[0049] 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.

[0050] Step 2. Number the floors as Floor 1-Floor 10, and classify the data according to different floors.

[0051] 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.

[0052] 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, then floor...

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Abstract

The invention provides a multi-natural sensing parameter fusion processing method for recognizing floor where a carrying robot is arranged in an intelligent environment. The method comprises steps of by use of low-cost temperature, humidity and air pressure sensors to search data, and establishing a database; and based on the characteristic that the air pressure is changed along with the height, by use of the big data processing technology, finishing establishing of a prediction model by use of an ELMAN neural network model optimized by the CPSO. According to the invention, adaptive identification of elevator floors where in the carrying robot is arranged in various environments is achieved; a condition of inaccurate floor identification caused by the change of air pressure values at the same height in different environments is effectively solved; and in addition, there is no need to improve the interior or exterior of an elevator, and the method is quite highly universal.

Description

technical field [0001] The invention belongs to the field of robot control, and in particular relates to a multi-natural sensing parameter fusion processing method for an intelligent environment carrying robot to identify a floor. Background technique [0002] Carrier robot, as an automatic transportation tool, has broad development prospects. Due to modern complex transportation requirements, delivery robots need to realize multi-floor transportation services. However, how to realize the floor identification of the delivery robot is still a difficult point. [0003] At present, there are two main solutions for carrying robots to identify the floors to which elevators go. One is to install external equipment to realize information interaction recognition, and the other is to allow robots to realize autonomous recognition. In the first case, through the internal transformation of the elevator, the interaction between the elevator and the carrying robot is established, and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/08G06F17/30G06N3/08G06K9/62
CPCG06F16/285G06F16/35G06N3/08G06Q10/04G06Q50/08G06F18/23213
Inventor 刘辉李燕飞段超王孝楠
Owner CENT SOUTH UNIV
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