Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Method for Carrier Robot Intelligently Identifying Floors Based on Meteorological Sensing Timing Mode

A technology of robot intelligence and sequential mode, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as great difficulty, different height data, and wrong floor identification of the carrier robot, so as to improve the accuracy and reduce the number of iterations. , the effect of excellent intelligent division ability

Active Publication Date: 2018-03-27
CENT SOUTH UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method requires the modification of the elevator. If it is directly used to carry the robot, it is also necessary to establish the interaction between the carrying robot and the elevator, which is more difficult. At the same time, since the air pressure will change with the environment, it will be different to directly use the air pressure to identify the height. Under environmental conditions, the height data of the same floor is different, which will cause the floor identification error of the delivery robot

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method for Carrier Robot Intelligently Identifying Floors Based on Meteorological Sensing Timing Mode
  • A Method for Carrier Robot Intelligently Identifying Floors Based on Meteorological Sensing Timing Mode
  • A Method for Carrier Robot Intelligently Identifying Floors Based on Meteorological Sensing Timing Mode

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Such as Figure 1-Figure 3 As shown, a method for intelligently identifying floors of a carrier robot based on a weather sensing time-series model includes the following steps:

[0056] 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 updating the database after the robot is put into use, taking a building with a height of 10 floors as example.

[0057] Step 2: Number the floors as Floor 1-Floor 10, and classify the collected data of each floor according to different floors.

[0058] 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.

[0059] Step 4: For each single floor, take the average value of temperature, humidity, and air pressure as the observation value, and take the observation value of...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for intelligently identifying a floor by a carrier robot based on a weather sensing time series pattern, comprising: step 1: building a floor information database; step 2: clustering the floor information data to obtain a set of weather patterns for each floor ; Step 3: Obtain the training set used to build the atmospheric pressure floor prediction model based on the weather model; Step 4: Build the atmospheric pressure floor prediction model based on the weather model; Step 5: Use the floor number of the robot's current floor and weather observations to call The air pressure floor prediction model of the weather model; step 6: use the air pressure and air pressure floor prediction model collected by the robot in real time to predict the floor number of the robot; this method uses simple temperature, humidity, and air pressure sensors to collect data, establish an environmental database, and target The characteristics of air pressure changing with altitude, using data mining technology, realize automatic high-accuracy and high-stability recognition of elevator floors by robots under different environmental conditions.

Description

technical field [0001] The invention belongs to the field of robot control, in particular to a method for intelligently identifying floors of a carrying robot based on a weather sensing time series mode. Background technique [0002] With the rapid development of advanced manufacturing technology and artificial intelligence technology, robots have increasingly broad application prospects. Carrier robot, as an automatic transportation tool, has received extensive attention. Due to the complex requirements of modern transportation tasks, the delivery robot needs to realize the transportation service of different floors. How to identify the floor where the elevator goes to is still a difficult problem for the delivery robot. [0003] At present, the methods for carrying robots to identify elevator floors mainly include robot vision methods, single-chip computer information reading methods, etc. The robot vision method uses image processing to recognize image information such...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/29G06F2216/03G06F18/23G06F18/2411
Inventor 李燕飞刘辉米希伟黄家豪
Owner CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products