An intelligent fusion processing method of meteorological parameters for a carrier robot to identify floors

Abstract

The invention provides an intelligent fusion processing method of meteorological parameters for carrying robots to identify floors, which uses low-cost temperature, humidity, and air pressure sensors to collect data and establish a database. The MKSVM model optimized by SFLA completes the establishment of the prediction model, realizes the adaptive identification of the elevator floor of the transport robot in various environments, and effectively solves the problem of inaccurate floor identification caused by changes in the air pressure value at the same height in different environments. 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 control, and in particular relates to an intelligent fusion processing method of meteorological parameters for carrying a robot to identify a floor. Background technique [0002] With the rapid development of technologies such as automatic control, machinery, sensors, and computers, the production, manufacturing, and control technologies of robots have been greatly improved, and the robot industry has entered an era of rapid development. Since the delivery robot has the advantages of improving logistics management, realizing data analysis and remote control, preventing cargo damage, and realizing long-distance transportation, delivery robots have gradually become an important part of modern machinery manufacturing, logistics transportation, scientific research and experiment systems. Modern complex transportation tasks require the delivery robot to be able to automate the delivery of different floors. Howeve...

AI Technical Summary

Problems solved by technology

The first solution is to realize the reading of the elevator floor by the carrying robot through the internal transformation of the elevator, that is, directly establish the information interaction between the elevator system and the carrying robot, such as reading the elevator floor information through a single-chip computer, this method can be realized stably and reliably Elevator floor recognition, but based on safety and convenience considerations, it is difficult to equip elevators with floor signal interaction equipment for carrying robots under realistic conditions

The second solution is to install a simple device outside the elevator to realize the reading of the elevator floor by the carrying robot. For example, the floor label is pasted on the position facing the elevator door on all floors, and the carrying robot recognizes the label through image processing. This method In the absence of strong light, visual occlusion and other conditions, the recognition rate is high, but it is difficult to cope with complex environments

The third solution is that the robot realizes the elevator floor recognition independently. This method does not require external modification and is more conducive to the wide application of the delivery robot. adapt to complex environment

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