CN111198530A - System and method for clouding robot in 5G environment - Google Patents
System and method for clouding robot in 5G environment Download PDFInfo
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- CN111198530A CN111198530A CN202010051435.4A CN202010051435A CN111198530A CN 111198530 A CN111198530 A CN 111198530A CN 202010051435 A CN202010051435 A CN 202010051435A CN 111198530 A CN111198530 A CN 111198530A
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Abstract
The invention discloses a system and a method for a clouding robot in a 5G environment, and belongs to the technical field of cloud computing. The method for clouding the robot in the 5G environment comprises a plurality of intelligent manufacturing cloud centers, wherein an intelligent manufacturing mechanism model of the robot is arranged at the cloud end, the intelligent manufacturing mechanism model is issued to the robot, and the robot performs intelligent cooperation according to the intelligent manufacturing mechanism model. The method for clouding the robot in the 5G environment effectively utilizes the network, forms the capability of controlling the robot in real time at the cloud, solves the problem of network delay, improves the cooperation capability of the robot, realizes the intellectualization of the industrial robot, and has good popularization and application values.
Description
Technical Field
The invention relates to the technical field of cloud computing, and particularly provides a system and a method for a clouding robot in a 5G environment.
Background
With the coming of a new information revolution represented by technologies and services such as cloud computing, mobile internet and the like, revolutionary transition from product provision to service provision is brought, and the information industry is a key element for promoting the upgrading of the information industry and promoting the integration of the vertical industry and the internet; the cloud center aggregates a large amount of physical hardware resources, realizes unified allocation, scheduling and management of heterogeneous network computing resources by adopting a virtualization technology, and greatly reduces computing and storage costs by intensively building a data center.
Half of the cloud terminals are increasingly large in number, the transmission rate is reduced, even a large network delay is generated sometimes, and the network delay becomes a large factor restricting the application. The emergence of 5G has brought new possibilities to the entire industry. The 5G has the characteristics of ultrahigh bandwidth, low delay and large capacity, and the end-to-end network slicing capability can flexibly and dynamically allocate required network resources to the blind requirement, thereby providing a customized network for users aiming at the vertical industry.
In an intelligent manufacturing production scene, the robot is required to have self-organizing and cooperative capabilities to meet flexible production, and thus the requirement of the robot on cloud is brought. The 5G network is an ideal communication network of the cloud robot and is a key for enabling the cloud robot. The 5G slice network can provide end-to-end customized network support for the cloud robot application.
Disclosure of Invention
The technical task of the invention is to provide a system for cloud-based robot under 5G environment, which effectively utilizes the network, forms the capability of controlling the robot in real time at the cloud end, solves the problem of network delay, improves the cooperation capability of the robot and realizes the intellectualization of the industrial robot.
The invention further aims to provide a method for clouding the robot in the 5G environment.
In order to achieve the purpose, the invention provides the following technical scheme:
the cloud robot system under the 5G environment comprises a plurality of intelligent manufacturing cloud centers, wherein an intelligent manufacturing mechanism model of the robot is arranged at the cloud end, the intelligent manufacturing mechanism model is issued to the robot, and the robot performs intelligent cooperation according to the intelligent manufacturing mechanism model.
Preferably, the intelligent manufacturing cloud center monitors the work of the robot and monitors the network conditions of the cloud and the robot in real time.
Preferably, the robot is provided with a computing unit, an industrial sensor and an environmental sensor, collects robot data and environmental data in real time, and transmits the data and the environmental data to the intelligent manufacturing cloud center through a network.
Preferably, the robot collects real-time factory data, transmits the data to the cloud, realizes decision making by utilizing cloud computing, and transmits the result back to the robot.
A method for cloud-based robot under 5G environment comprises the steps of setting an intelligent manufacturing cloud center according to delay conditions among nodes of a 5G network, setting an intelligent manufacturing mechanism model of the robot at a cloud end, issuing the intelligent manufacturing mechanism model to the robot through the 5G network, carrying out intelligent cooperation on the robot according to the intelligent manufacturing mechanism model, collecting real-time factory data by the robot, transmitting the data to the cloud end, realizing decision making by utilizing computing capacity of the cloud end, and transmitting results back to the robot.
The 5G network is a network with ultrahigh bandwidth, low delay and high reliability, and meets the requirements of large flow, real-time control and robot cloud intelligence.
The intelligent manufacturing cloud center monitors the working condition of the robot in real time, monitors the network conditions of the cloud and the robot in real time, generates a local decision model by collecting the mass working data of the robot, fusing production data and combining service data, and transmits the local decision model to the cloud through ultra-low delay high-reliability 5G, so that an intelligent manufacturing mechanism model is enriched.
The method for the cloud robot in the 5G environment sets an intelligent manufacturing cloud center according to the delay condition among the nodes of the 5G network, sets an intelligent manufacturing mechanism model of the robot at the cloud end, issues the mechanism model to the cloud robot through the 5G network, and the robot performs intelligent cooperation according to the mechanism model. Meanwhile, the robot continuously collects real-time factory data, transmits the data to the cloud end through high bandwidth, realizes decision making by utilizing the massive computing capacity of the cloud end, and transmits the result back to the robot through high reliability and low delay, so that automatic cooperation of the robot is realized, and meanwhile, the real-time control of the robot is realized. The invention effectively utilizes the network, forms the capability of controlling the robot in real time at the cloud, solves the problem of network delay, utilizes the cloud artificial intelligence manufacturing mechanism model, improves the robot cooperation capability and realizes the intellectualization of the industrial robot.
Preferably, the intelligent manufacturing cloud center monitors the working condition of the robot, monitors the network response condition between the cloud and the robot in real time, collects robot data, environment perception data and cooperation data, generates a robot model, utilizes a local decision-making model to make real-time decision, and converts the result of decision-making analysis into a robot control instruction.
Preferably, the robot is provided with a computing unit, an industrial sensor and an environmental sensor, collects robot data and environmental data in real time, and transmits the data and the environmental data to the intelligent manufacturing cloud center through a network.
Preferably, the intelligent manufacturing cloud center dynamically switches the intelligent manufacturing cloud center according to the robot condition, the network delay condition and the computing resource condition.
Compared with the prior art, the method for clouding the robot in the 5G environment has the following outstanding beneficial effects: according to the method for clouding the robot in the 5G environment, a large number of operation functions and data storage functions are moved to the cloud end through the cloud technology robot, the hardware cost and the power consumption of the robot are reduced, the flexible manufacturing requirement is met, a network can be effectively utilized, the capability of controlling the robot in real time is formed at the cloud end, the problem of network delay is solved, the robot cooperation capability is improved, the intelligence of the industrial robot is achieved, and the method has good popularization and application values.
Drawings
Fig. 1 is a flowchart of a method for clouding a robot in a 5G environment according to the present invention.
Detailed Description
The system and method for clouding the robot in the 5G environment according to the present invention will be described in further detail with reference to the accompanying drawings and embodiments.
Examples
The system for clouding the robot in the 5G environment comprises three intelligent manufacturing cloud centers, an intelligent robot manufacturing mechanism model is arranged at the cloud end, the intelligent manufacturing mechanism model is issued to the robot, and the robot performs intelligent cooperation according to the mechanism model.
The intelligent manufacturing cloud center monitors the work of the robot and monitors the network conditions of the cloud and the robot in real time.
The robot is provided with a computing unit, an industrial sensor and an environment sensor, collects robot data and environment data in real time, and transmits the data to the intelligent manufacturing cloud center through a network. The robot collects factory real-time data, transmits the data to the cloud, realizes decision making by utilizing cloud computing, and transmits the result back to the robot.
As shown in fig. 1, in the method for clouding a robot in a 5G environment, an intelligent manufacturing cloud center is set according to delay conditions among nodes of a 5G network, an intelligent manufacturing mechanism model of the robot is set at a cloud end, the intelligent manufacturing mechanism model is issued to the robot through the 5G network, the robot performs intelligent cooperation according to the intelligent manufacturing mechanism model, meanwhile, the robot collects real-time factory data, transmits the data to the cloud end, realizes decision making by using cloud computing capacity, and transmits results back to the robot. The automatic cooperation of the robot is realized, and the real-time control of the robot is realized.
The 5G network is a network with ultrahigh bandwidth, low delay and high reliability, and meets the requirements of large flow, real-time control and robot cloud intelligence.
The intelligent manufacturing cloud center monitors the working condition of the robot in real time, monitors the network conditions of the cloud and the robot in real time, generates a local decision model by collecting the mass working data of the robot, fusing production data and combining service data, and transmits the local decision model to the cloud through ultra-low delay high-reliability 5G, so that an intelligent manufacturing mechanism model is enriched.
The method for the cloud robot in the 5G environment sets an intelligent manufacturing cloud center according to the delay condition among the nodes of the 5G network, sets an intelligent manufacturing mechanism model of the robot at the cloud end, issues the mechanism model to the cloud robot through the 5G network, and the robot performs intelligent cooperation according to the mechanism model. Meanwhile, the robot continuously collects real-time factory data, transmits the data to the cloud end through high bandwidth, realizes decision making by utilizing the massive computing capacity of the cloud end, and transmits the result back to the robot through high reliability and low delay, so that automatic cooperation of the robot is realized, and meanwhile, the real-time control of the robot is realized. The invention effectively utilizes the network, forms the capability of controlling the robot in real time at the cloud, solves the problem of network delay, utilizes the cloud artificial intelligence manufacturing mechanism model, improves the robot cooperation capability and realizes the intellectualization of the industrial robot.
The intelligent manufacturing cloud center monitors the working condition of the robot, monitors the network response condition between the cloud end and the robot in real time, collects robot data, environment perception data and cooperation data, generates a robot model, utilizes a local decision model to make real-time decision, and converts the result of decision analysis into a robot control instruction. And the intelligent manufacturing cloud center is dynamically switched according to the condition of the robot, the network delay condition and the computing resource condition.
The robot is provided with a computing unit, an industrial sensor and an environment sensor, collects robot data and environment data in real time, and transmits the data to the intelligent manufacturing cloud center through a network.
The above-described embodiments are merely preferred embodiments of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (8)
1. The utility model provides a system of clouding robot under 5G environment which characterized in that: the robot intelligent manufacturing cloud center comprises a plurality of intelligent manufacturing cloud centers, wherein a robot intelligent manufacturing mechanism model is arranged at the cloud end, the robot intelligent manufacturing mechanism model is issued to the robot, and the robot performs intelligent cooperation according to the intelligent manufacturing mechanism model.
2. The system of the clouding robot under the 5G environment according to claim 1, characterized in that: the intelligent manufacturing cloud center monitors the work of the robot and monitors the network conditions of the cloud and the robot in real time.
3. The system of the clouding robot under the 5G environment according to claim 2, characterized in that: the robot is provided with a computing unit, an industrial sensor and an environmental sensor, collects robot data and environmental data in real time, and transmits the data and the environmental data to the intelligent manufacturing cloud center through a network.
4. The system of the clouding robot under the 5G environment according to claim 3, characterized in that: the robot collects factory real-time data, transmits the data to the cloud end, utilizes the cloud end to calculate and realize decision making, and transmits the result back to the robot.
5. A method for clouding a robot in a 5G environment is characterized in that: the method includes the steps that an intelligent manufacturing cloud center is set according to delay conditions among nodes of a 5G network, an intelligent manufacturing mechanism model of a robot is set at a cloud end, the intelligent manufacturing mechanism model is issued to the robot through the 5G network, the robot performs intelligent cooperation according to the intelligent manufacturing mechanism model, meanwhile, the robot collects real-time factory data, transmits the data to the cloud end, decision making is achieved through cloud computing capacity, and results are transmitted back to the robot.
6. The method for clouding a robot under 5G environment according to claim 5, characterized in that: the intelligent manufacturing cloud center monitors the working condition of the robot, monitors the network response condition between the cloud end and the robot in real time, collects robot data, environment perception data and cooperation data, generates a robot model, carries out real-time decision by using a local decision model, and converts the result of decision analysis into a robot control instruction.
7. The method for clouding a robot under 5G environment according to claim 6, characterized in that: the robot is provided with a computing unit, an industrial sensor and an environmental sensor, collects robot data and environmental data in real time, and transmits the data and the environmental data to the intelligent manufacturing cloud center through a network.
8. The method for clouding a robot under 5G environment according to claim 7, characterized in that: and the intelligent manufacturing cloud center is dynamically switched according to the condition of the robot, the network delay condition and the computing resource condition.
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CN112650560A (en) * | 2021-01-18 | 2021-04-13 | 济南浪潮高新科技投资发展有限公司 | Container design-based cloud robot model issuing method |
CN113222530A (en) * | 2021-04-22 | 2021-08-06 | 北京洛必德科技有限公司 | Robot and environment cooperative work system |
CN113905075A (en) * | 2021-09-13 | 2022-01-07 | 中国船舶重工集团公司第七一六研究所 | Control system and method for clouding robot in 5G environment |
EP4414916A1 (en) * | 2023-02-07 | 2024-08-14 | Siemens Aktiengesellschaft | Method and system arrangement for optimizing production plannings of products and goods or shop floor logistics in producing, trading or distributing products and goods |
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