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Multi-station self-coordinated intelligent robot system based on cloud network and control method of system

An intelligent robot and multi-station technology, applied in the direction of comprehensive factory control, comprehensive factory control, control/adjustment system, etc., can solve the problems of poor computing power of the robot group, difficult robot movement, poor system stability, etc., to improve communication stability performance, reduce basic communication capacity, and achieve high self-coordination

Active Publication Date: 2015-12-30
李宏亮
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The present invention aims to solve the technical problems of poor computing power of the robot group in the prior art, difficulty in coordinating the movements of the robots at each station, and poor system stability

Method used

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  • Multi-station self-coordinated intelligent robot system based on cloud network and control method of system
  • Multi-station self-coordinated intelligent robot system based on cloud network and control method of system
  • Multi-station self-coordinated intelligent robot system based on cloud network and control method of system

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Experimental program
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Embodiment 1

[0038] refer to figure 1 , this embodiment provides a multi-station self-coordinating intelligent robot system based on cloud network, the system includes: an intelligent robot group 101 , a communication control network 102 , and a cloud computing server 103 . The intelligent robot group 101 is connected with the cloud computing server 103 through the communication control network 102 . In order to ensure the stability of the system, the communication control network is arranged in the form of a wired network. The cloud computing server 103 mainly includes a communication layer 131 , a storage layer 132 , and a computing layer 133 .

[0039] The intelligent robot group 101 is a collection of multi-station intelligent robots. In the present embodiment, the intelligent robot group 101 includes the first active intelligent robot 111 and the first slave intelligent robot 112...the Nth slave intelligent robot 113. Slave intelligent robot family. Each intelligent robot includes ...

Embodiment 2

[0045] refer to figure 2 , this embodiment provides a cloud network-based multi-station self-coordinating intelligent robot system, the system includes: an intelligent robot group 201 , a communication control network 202 , and a cloud computing server 203 . The intelligent robot group 201 is connected with the cloud computing server 203 through the communication control network 202 . In order to reduce the space limitation of communication network erection, the communication control network is arranged in the form of wireless network. The cloud computing server 203 mainly includes a communication layer 231 , a storage layer 232 , and a computing layer 233 .

[0046] The intelligent robot group 201 is a collection of multi-station intelligent robots. In this embodiment, the intelligent robot group 201 includes: (1) the first intelligent robot group, which includes the first active intelligent robot 211 and the first slave intelligent robot 213 ... the slave intelligent robo...

Embodiment 3

[0052] refer to image 3 , is a flow chart of a control method for a multi-station self-coordinating intelligent robot system based on a cloud network. The method mainly includes the following steps:

[0053] S1. Setting of the initial operation information of the first active intelligent robot;

[0054] S2. The first active intelligent robot transmits the initial operation information to the cloud computing server through the communication control network;

[0055] S3. The cloud computing server plans the driven operation information of the first driven intelligent robot based on the initial operation information of the first active intelligent robot, and transmits it to the first driven intelligent robot through the communication control network to control the first driven intelligent robot. robot action;

[0056] S4. The cloud computing server collects the real-time operation information of the first active robot and the actual operation information of the first slave ro...

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Abstract

The invention relates to a multi-station self-coordinated intelligent robot system based on the cloud network and a control method of the system. The system comprises a robot group, a communication control network and the cloud computing service end. According to initial operation information and real-time operation information of a first driving intelligent robot, the cloud computing service end plans and corrects driven operation information of a first driven intelligent robot, and transmits the driven operation information to the first driven intelligent robot via the communication control network to control and adjust movement of the first driven intelligent robot. According to the system and the corresponding control method, the high-efficiency, stable and low-cost intelligent robot production system capable of self coordination is realized.

Description

technical field [0001] The invention belongs to the construction and control of a multi-station intelligent robot system, in particular to a cloud network-based multi-station self-coordination intelligent robot system and a control method. Background technique [0002] The purpose of the present invention is to improve the intelligence level of the manufacturing industry, establish a smart factory with adaptability, resource efficiency and ergonomics, and integrate customers and business partners in business processes and value processes. Its technical basis is the network entity system and the Internet of Things. This research project was jointly funded by the Federal Ministry of Education and Research and the Ministry of Economics and Technology, and was formed under the advice and promotion of the Federauenho Association. [0003] This project is divided into three themes: The first is "intelligent production", which mainly involves the production and logistics managemen...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCY02P90/02G05B19/41875
Inventor 唐思钊
Owner 李宏亮
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