Meteorological sensing time sequence mode based intelligent storey recognition method for carrier robot
A technology of robot intelligence and sequential mode, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as difficult, different height data, wrong floor identification of carrying robots, etc., to improve accuracy and reduce iteration times , the effect of excellent intelligent division ability
Active Publication Date: 2017-12-01
CENT SOUTH UNIV
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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
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[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...
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The invention discloses a meteorological sensing time sequence mode based intelligent storey recognition method for a carrier robot. The method includes: step 1, constructing a storey information database; step 2, clustering the storey information data to obtain a weather mode set of each storey; step 3, acquiring a training set for constructing weather mode based atmospheric pressure storey prediction models; step 4, constructing the weather mode based atmospheric pressure storey prediction models; step 5, adopting a number of a current storey of the robot and a weather observed value to call the corresponding weather mode based atmospheric pressure storey prediction model; step 6, adopting an atmospheric pressure acquired by the robot in real time and the atmospheric pressure storey prediction model to predict the number of the storey of the robot. According to the method, simple temperature, humidity and atmospheric pressure sensors are adopted for data collection to establish an environmental database, the data mining technology is adopted aiming at the characteristic that the atmospheric pressure varies along with height variation, and accordingly automatic high-accuracy high-stability elevator storey recognition of the robot under different environmental conditions is realized.
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...
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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